{
  "project": {
    "project_id": "xr843/Master-skill",
    "repo": "xr843/Master-skill",
    "name": "Master-skill",
    "github_url": "https://github.com/xr843/Master-skill",
    "homepage_url": "https://fojin.app/chat",
    "language": "Python",
    "license": "MIT",
    "project_kind": "project",
    "category": [
      "rag_framework"
    ],
    "tags": [
      "agent-skills",
      "ai-persona",
      "bdrc",
      "buddhism",
      "chinese-buddhism",
      "claude-skills",
      "digital-humanities",
      "fojin",
      "llm",
      "mahamudra",
      "rag",
      "suttacentral",
      "thai-forest-tradition",
      "theravada",
      "tibetan-buddhism"
    ],
    "description": "FoJin-powered Buddhist AI persona framework — source-grounded, boundary-aware, fidelity-tested, runtime-ready.",
    "overview": "Use xr843/Master-skill when the user needs a rag framework project with library_only, local, cloud deployment options.",
    "alternatives": [],
    "related": [],
    "dependencies": [
      "Vector database",
      "LLM provider"
    ],
    "deployments": [
      "library_only",
      "local",
      "cloud"
    ],
    "difficulty": "beginner",
    "cloudflare_ready": false,
    "use_cases": [
      "build RAG applications",
      "connect private data to LLMs",
      "index documents for retrieval"
    ],
    "not_good_for": [
      "edge-only Cloudflare Workers deployment without adaptation",
      "users expecting a complete hosted product"
    ],
    "classification": {
      "category": {
        "confidence": "medium",
        "evidence": [
          "Matched \"rag\" in metadata."
        ]
      },
      "deployment": {
        "confidence": "high",
        "evidence": [
          "Matched \"pip install\" in repository content.",
          "Matched \"npm install\" in repository content.",
          "Local usage is assumed for open source repositories unless contradicted."
        ]
      },
      "difficulty": {
        "confidence": "medium",
        "evidence": [
          "Repository has under 10k stars, so complexity is treated conservatively."
        ]
      },
      "cloudflare_ready": {
        "confidence": "high",
        "evidence": [
          "Runtime blocker: python.",
          "No Cloudflare deployment signal detected."
        ]
      }
    },
    "quality_signals": {
      "stars": 300,
      "recent_commits": 95,
      "contributors": 2,
      "issue_response_time_hours": null,
      "release_frequency_180d": 8
    },
    "quality_signal_confidence": {
      "stars_30d_delta": "estimated",
      "commits_30d": "complete",
      "releases_180d": "complete",
      "contributors_90d": "complete"
    },
    "quality_score": 27,
    "agent_score": 64,
    "score": 80,
    "agent_score_breakdown": {
      "documentation": 90,
      "maintenance": 48,
      "deployment": 80,
      "popularity": 50,
      "community": 47
    },
    "git_top_score": 80,
    "git_top_score_breakdown": {
      "community": 73,
      "maintenance": 65,
      "documentation": 84,
      "stability": 100,
      "adoption": 72,
      "agent_readability": 90
    },
    "summary": {
      "tl_dr": "Use xr843/Master-skill when the user needs a rag framework project with library_only, local, cloud deployment options.",
      "purpose": "Use xr843/Master-skill when the user needs a rag framework project with library_only, local, cloud deployment options.",
      "install": "Install as a library or package using the repository instructions.",
      "inputs": [
        "documents",
        "queries",
        "embedding store"
      ],
      "outputs": [
        "retrieval results",
        "grounded answers",
        "indexes"
      ],
      "good_for": [
        "build RAG applications",
        "connect private data to LLMs",
        "index documents for retrieval",
        "retrieval augmented generation",
        "document search",
        "knowledge grounding"
      ],
      "not_good_for": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "users expecting a complete hosted product",
        "simple prompt apps",
        "tasks without external knowledge"
      ],
      "deployment": [
        "library_only",
        "local",
        "cloud"
      ],
      "alternatives": []
    },
    "evidence": {
      "classification": {
        "category": {
          "confidence": "medium",
          "evidence": [
            "Matched \"rag\" in metadata."
          ]
        },
        "deployment": {
          "confidence": "high",
          "evidence": [
            "Matched \"pip install\" in repository content.",
            "Matched \"npm install\" in repository content.",
            "Local usage is assumed for open source repositories unless contradicted."
          ]
        },
        "difficulty": {
          "confidence": "medium",
          "evidence": [
            "Repository has under 10k stars, so complexity is treated conservatively."
          ]
        },
        "cloudflare_ready": {
          "confidence": "high",
          "evidence": [
            "Runtime blocker: python.",
            "No Cloudflare deployment signal detected."
          ]
        }
      },
      "quality_signal_confidence": {
        "stars_30d_delta": "estimated",
        "commits_30d": "complete",
        "releases_180d": "complete",
        "contributors_90d": "complete"
      },
      "source_fields": [
        "project.description",
        "project.topics",
        "project.language",
        "project.license",
        "agent_card.summary_for_agent",
        "agent_card.use_cases",
        "agent_card.deployment",
        "agent_card.classification",
        "metrics"
      ],
      "caveats": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "users expecting a complete hosted product",
        "Partial or estimated quality signals: stars30dDelta."
      ],
      "confidence_reason": "Evidence is usable for comparison, but agents should cite caveats before making a strong recommendation.",
      "last_verified_at": "2026-07-09T14:00:58.003Z"
    },
    "caveats": [
      "edge-only Cloudflare Workers deployment without adaptation",
      "users expecting a complete hosted product",
      "Partial or estimated quality signals: stars30dDelta."
    ],
    "confidence_reason": "Evidence is usable for comparison, but agents should cite caveats before making a strong recommendation.",
    "source_fields": [
      "project.description",
      "project.topics",
      "project.language",
      "project.license",
      "agent_card.summary_for_agent",
      "agent_card.use_cases",
      "agent_card.deployment",
      "agent_card.classification",
      "metrics"
    ],
    "last_verified_at": "2026-07-09T14:00:58.003Z"
  },
  "related": [
    {
      "project_id": "deepset-ai/haystack",
      "repo": "deepset-ai/haystack",
      "name": "haystack",
      "github_url": "https://github.com/deepset-ai/haystack",
      "homepage_url": "https://haystack.deepset.ai",
      "language": "MDX",
      "license": "Apache-2.0",
      "project_kind": "project",
      "category": [
        "rag_framework"
      ],
      "tags": [
        "agent",
        "agents",
        "ai",
        "gemini",
        "generative-ai",
        "gpt-4",
        "information-retrieval",
        "large-language-models",
        "llm",
        "machine-learning",
        "nlp",
        "orchestration",
        "python",
        "pytorch",
        "question-answering",
        "rag",
        "retrieval-augmented-generation",
        "semantic-search",
        "summarization",
        "transformers"
      ],
      "description": "Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.",
      "overview": "Use deepset-ai/haystack when the user needs a rag framework project with docker, library_only, local deployment options.",
      "alternatives": [],
      "related": [],
      "dependencies": [
        "Vector database",
        "LLM provider"
      ],
      "deployments": [
        "docker",
        "library_only",
        "local",
        "cloud"
      ],
      "difficulty": "intermediate",
      "cloudflare_ready": false,
      "use_cases": [
        "build RAG applications",
        "connect private data to LLMs",
        "index documents for retrieval"
      ],
      "not_good_for": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "users expecting a complete hosted product"
      ],
      "classification": {
        "category": {
          "confidence": "high",
          "evidence": [
            "Matched \"rag\" in metadata.",
            "Matched \"retrieval-augmented\" in metadata."
          ]
        },
        "deployment": {
          "confidence": "high",
          "evidence": [
            "Matched \"pip install\" in repository content.",
            "Local usage is assumed for open source repositories unless contradicted."
          ]
        },
        "difficulty": {
          "confidence": "medium",
          "evidence": [
            "No strong beginner or advanced signal found; defaulting to intermediate."
          ]
        },
        "cloudflare_ready": {
          "confidence": "high",
          "evidence": [
            "Runtime blocker: python.",
            "No Cloudflare deployment signal detected."
          ]
        }
      },
      "quality_signals": {
        "stars": 25852,
        "recent_commits": 100,
        "contributors": 100,
        "issue_response_time_hours": null,
        "release_frequency_180d": 34
      },
      "quality_signal_confidence": {
        "stars_30d_delta": "snapshot",
        "stars30d_window_days": 21,
        "commits_30d": "partial",
        "releases_180d": "complete",
        "contributors_90d": "partial"
      },
      "quality_score": 51,
      "agent_score": 88,
      "score": 91,
      "agent_score_breakdown": {
        "documentation": 90,
        "maintenance": 76,
        "deployment": 90,
        "popularity": 88,
        "community": 100
      },
      "git_top_score": 91,
      "git_top_score_breakdown": {
        "community": 100,
        "maintenance": 84,
        "documentation": 84,
        "stability": 90,
        "adoption": 100,
        "agent_readability": 90
      },
      "summary": {
        "tl_dr": "Use deepset-ai/haystack when the user needs a rag framework project with docker, library_only, local deployment options.",
        "purpose": "Use deepset-ai/haystack when the user needs a rag framework project with docker, library_only, local deployment options.",
        "install": "Run with Docker using the repository's container instructions.",
        "inputs": [
          "documents",
          "queries",
          "embedding store"
        ],
        "outputs": [
          "retrieval results",
          "grounded answers",
          "indexes"
        ],
        "good_for": [
          "build RAG applications",
          "connect private data to LLMs",
          "index documents for retrieval",
          "retrieval augmented generation",
          "document search",
          "knowledge grounding"
        ],
        "not_good_for": [
          "edge-only Cloudflare Workers deployment without adaptation",
          "users expecting a complete hosted product",
          "simple prompt apps",
          "tasks without external knowledge"
        ],
        "deployment": [
          "docker",
          "library_only",
          "local",
          "cloud"
        ],
        "alternatives": []
      },
      "evidence": {
        "classification": {
          "category": {
            "confidence": "high",
            "evidence": [
              "Matched \"rag\" in metadata.",
              "Matched \"retrieval-augmented\" in metadata."
            ]
          },
          "deployment": {
            "confidence": "high",
            "evidence": [
              "Matched \"pip install\" in repository content.",
              "Local usage is assumed for open source repositories unless contradicted."
            ]
          },
          "difficulty": {
            "confidence": "medium",
            "evidence": [
              "No strong beginner or advanced signal found; defaulting to intermediate."
            ]
          },
          "cloudflare_ready": {
            "confidence": "high",
            "evidence": [
              "Runtime blocker: python.",
              "No Cloudflare deployment signal detected."
            ]
          }
        },
        "quality_signal_confidence": {
          "stars_30d_delta": "snapshot",
          "stars30d_window_days": 21,
          "commits_30d": "partial",
          "releases_180d": "complete",
          "contributors_90d": "partial"
        },
        "source_fields": [
          "project.description",
          "project.topics",
          "project.language",
          "project.license",
          "agent_card.summary_for_agent",
          "agent_card.use_cases",
          "agent_card.deployment",
          "agent_card.classification",
          "metrics"
        ],
        "caveats": [
          "edge-only Cloudflare Workers deployment without adaptation",
          "users expecting a complete hosted product",
          "Partial or estimated quality signals: commits30d, contributors90d."
        ],
        "confidence_reason": "Evidence is usable for comparison, but agents should cite caveats before making a strong recommendation.",
        "last_verified_at": "2026-07-09T00:01:12.253Z"
      },
      "caveats": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "users expecting a complete hosted product",
        "Partial or estimated quality signals: commits30d, contributors90d."
      ],
      "confidence_reason": "Evidence is usable for comparison, but agents should cite caveats before making a strong recommendation.",
      "source_fields": [
        "project.description",
        "project.topics",
        "project.language",
        "project.license",
        "agent_card.summary_for_agent",
        "agent_card.use_cases",
        "agent_card.deployment",
        "agent_card.classification",
        "metrics"
      ],
      "last_verified_at": "2026-07-09T00:01:12.253Z"
    },
    {
      "project_id": "ax-llm/ax",
      "repo": "ax-llm/ax",
      "name": "ax",
      "github_url": "https://github.com/ax-llm/ax",
      "homepage_url": "http://axllm.dev",
      "language": "TypeScript",
      "license": "Apache-2.0",
      "project_kind": "project",
      "category": [
        "rag_framework"
      ],
      "tags": [
        "ai",
        "anthropic",
        "claude",
        "cohere",
        "dspy",
        "gemini",
        "google",
        "google-gemini",
        "gpt-4",
        "javascript",
        "large-language-models",
        "llm",
        "nodejs",
        "ollama",
        "openai",
        "opensource",
        "rag",
        "typescript",
        "vectordb",
        "webllm"
      ],
      "description": "The pretty much \"official\" DSPy framework for Typescript",
      "overview": "Use ax-llm/ax when the user needs a rag framework project with library_only, local, cloud deployment options.",
      "alternatives": [],
      "related": [],
      "dependencies": [
        "Vector database",
        "LLM provider"
      ],
      "deployments": [
        "library_only",
        "local",
        "cloud"
      ],
      "difficulty": "beginner",
      "cloudflare_ready": false,
      "use_cases": [
        "build RAG applications",
        "connect private data to LLMs",
        "index documents for retrieval"
      ],
      "not_good_for": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "users expecting a complete hosted product"
      ],
      "classification": {
        "category": {
          "confidence": "medium",
          "evidence": [
            "Matched \"rag\" in metadata."
          ]
        },
        "deployment": {
          "confidence": "high",
          "evidence": [
            "Matched \"library\" in repository content.",
            "Local usage is assumed for open source repositories unless contradicted."
          ]
        },
        "difficulty": {
          "confidence": "medium",
          "evidence": [
            "Repository has under 10k stars, so complexity is treated conservatively."
          ]
        },
        "cloudflare_ready": {
          "confidence": "high",
          "evidence": [
            "Runtime blocker: python, filesystem.",
            "No Cloudflare deployment signal detected."
          ]
        }
      },
      "quality_signals": {
        "stars": 2803,
        "recent_commits": 100,
        "contributors": 36,
        "issue_response_time_hours": null,
        "release_frequency_180d": 100
      },
      "quality_signal_confidence": {
        "stars_30d_delta": "estimated",
        "commits_30d": "partial",
        "releases_180d": "partial",
        "contributors_90d": "complete"
      },
      "quality_score": 38,
      "agent_score": 77,
      "score": 91,
      "agent_score_breakdown": {
        "documentation": 90,
        "maintenance": 65,
        "deployment": 80,
        "popularity": 69,
        "community": 81
      },
      "git_top_score": 91,
      "git_top_score_breakdown": {
        "community": 100,
        "maintenance": 76,
        "documentation": 84,
        "stability": 100,
        "adoption": 98,
        "agent_readability": 90
      },
      "summary": {
        "tl_dr": "Use ax-llm/ax when the user needs a rag framework project with library_only, local, cloud deployment options.",
        "purpose": "Use ax-llm/ax when the user needs a rag framework project with library_only, local, cloud deployment options.",
        "install": "Install as a library or package using the repository instructions.",
        "inputs": [
          "documents",
          "queries",
          "embedding store"
        ],
        "outputs": [
          "retrieval results",
          "grounded answers",
          "indexes"
        ],
        "good_for": [
          "build RAG applications",
          "connect private data to LLMs",
          "index documents for retrieval",
          "retrieval augmented generation",
          "document search",
          "knowledge grounding"
        ],
        "not_good_for": [
          "edge-only Cloudflare Workers deployment without adaptation",
          "users expecting a complete hosted product",
          "simple prompt apps",
          "tasks without external knowledge"
        ],
        "deployment": [
          "library_only",
          "local",
          "cloud"
        ],
        "alternatives": []
      },
      "evidence": {
        "classification": {
          "category": {
            "confidence": "medium",
            "evidence": [
              "Matched \"rag\" in metadata."
            ]
          },
          "deployment": {
            "confidence": "high",
            "evidence": [
              "Matched \"library\" in repository content.",
              "Local usage is assumed for open source repositories unless contradicted."
            ]
          },
          "difficulty": {
            "confidence": "medium",
            "evidence": [
              "Repository has under 10k stars, so complexity is treated conservatively."
            ]
          },
          "cloudflare_ready": {
            "confidence": "high",
            "evidence": [
              "Runtime blocker: python, filesystem.",
              "No Cloudflare deployment signal detected."
            ]
          }
        },
        "quality_signal_confidence": {
          "stars_30d_delta": "estimated",
          "commits_30d": "partial",
          "releases_180d": "partial",
          "contributors_90d": "complete"
        },
        "source_fields": [
          "project.description",
          "project.topics",
          "project.language",
          "project.license",
          "agent_card.summary_for_agent",
          "agent_card.use_cases",
          "agent_card.deployment",
          "agent_card.classification",
          "metrics"
        ],
        "caveats": [
          "edge-only Cloudflare Workers deployment without adaptation",
          "users expecting a complete hosted product",
          "Partial or estimated quality signals: stars30dDelta, commits30d, releases180d."
        ],
        "confidence_reason": "Evidence is usable for comparison, but agents should cite caveats before making a strong recommendation.",
        "last_verified_at": "2026-07-02T13:00:47.601Z"
      },
      "caveats": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "users expecting a complete hosted product",
        "Partial or estimated quality signals: stars30dDelta, commits30d, releases180d."
      ],
      "confidence_reason": "Evidence is usable for comparison, but agents should cite caveats before making a strong recommendation.",
      "source_fields": [
        "project.description",
        "project.topics",
        "project.language",
        "project.license",
        "agent_card.summary_for_agent",
        "agent_card.use_cases",
        "agent_card.deployment",
        "agent_card.classification",
        "metrics"
      ],
      "last_verified_at": "2026-07-02T13:00:47.601Z"
    },
    {
      "project_id": "langchain-ai/langgraph",
      "repo": "langchain-ai/langgraph",
      "name": "langgraph",
      "github_url": "https://github.com/langchain-ai/langgraph",
      "homepage_url": "https://docs.langchain.com/oss/python/langgraph/",
      "language": "Python",
      "license": "MIT",
      "project_kind": "project",
      "category": [
        "rag_framework"
      ],
      "tags": [
        "agents",
        "ai",
        "ai-agents",
        "chatgpt",
        "deepagents",
        "enterprise",
        "framework",
        "gemini",
        "generative-ai",
        "langchain",
        "langgraph",
        "llm",
        "multiagent",
        "open-source",
        "openai",
        "pydantic",
        "python",
        "rag"
      ],
      "description": "Build resilient agents.",
      "overview": "Use langchain-ai/langgraph when the user needs a rag framework project with library_only, local, cloud deployment options.",
      "alternatives": [],
      "related": [],
      "dependencies": [
        "Vector database",
        "LLM provider"
      ],
      "deployments": [
        "library_only",
        "local",
        "cloud"
      ],
      "difficulty": "intermediate",
      "cloudflare_ready": false,
      "use_cases": [
        "build RAG applications",
        "connect private data to LLMs",
        "index documents for retrieval"
      ],
      "not_good_for": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "users expecting a complete hosted product"
      ],
      "classification": {
        "category": {
          "confidence": "medium",
          "evidence": [
            "Matched \"rag\" in metadata."
          ]
        },
        "deployment": {
          "confidence": "high",
          "evidence": [
            "Matched \"pip install\" in repository content.",
            "Matched \"library\" in repository content.",
            "Local usage is assumed for open source repositories unless contradicted."
          ]
        },
        "difficulty": {
          "confidence": "medium",
          "evidence": [
            "No strong beginner or advanced signal found; defaulting to intermediate."
          ]
        },
        "cloudflare_ready": {
          "confidence": "high",
          "evidence": [
            "Runtime blocker: python.",
            "No Cloudflare deployment signal detected."
          ]
        }
      },
      "quality_signals": {
        "stars": 36877,
        "recent_commits": 57,
        "contributors": 100,
        "issue_response_time_hours": null,
        "release_frequency_180d": 100
      },
      "quality_signal_confidence": {
        "stars_30d_delta": "snapshot",
        "stars30d_window_days": 23,
        "commits_30d": "complete",
        "releases_180d": "partial",
        "contributors_90d": "partial"
      },
      "quality_score": 80,
      "agent_score": 85,
      "score": 91,
      "agent_score_breakdown": {
        "documentation": 90,
        "maintenance": 69,
        "deployment": 80,
        "popularity": 91,
        "community": 100
      },
      "git_top_score": 91,
      "git_top_score_breakdown": {
        "community": 100,
        "maintenance": 79,
        "documentation": 92,
        "stability": 90,
        "adoption": 100,
        "agent_readability": 90
      },
      "summary": {
        "tl_dr": "Use langchain-ai/langgraph when the user needs a rag framework project with library_only, local, cloud deployment options.",
        "purpose": "Use langchain-ai/langgraph when the user needs a rag framework project with library_only, local, cloud deployment options.",
        "install": "Install as a library or package using the repository instructions.",
        "inputs": [
          "documents",
          "queries",
          "embedding store"
        ],
        "outputs": [
          "retrieval results",
          "grounded answers",
          "indexes"
        ],
        "good_for": [
          "build RAG applications",
          "connect private data to LLMs",
          "index documents for retrieval",
          "retrieval augmented generation",
          "document search",
          "knowledge grounding"
        ],
        "not_good_for": [
          "edge-only Cloudflare Workers deployment without adaptation",
          "users expecting a complete hosted product",
          "simple prompt apps",
          "tasks without external knowledge"
        ],
        "deployment": [
          "library_only",
          "local",
          "cloud"
        ],
        "alternatives": []
      },
      "evidence": {
        "classification": {
          "category": {
            "confidence": "medium",
            "evidence": [
              "Matched \"rag\" in metadata."
            ]
          },
          "deployment": {
            "confidence": "high",
            "evidence": [
              "Matched \"pip install\" in repository content.",
              "Matched \"library\" in repository content.",
              "Local usage is assumed for open source repositories unless contradicted."
            ]
          },
          "difficulty": {
            "confidence": "medium",
            "evidence": [
              "No strong beginner or advanced signal found; defaulting to intermediate."
            ]
          },
          "cloudflare_ready": {
            "confidence": "high",
            "evidence": [
              "Runtime blocker: python.",
              "No Cloudflare deployment signal detected."
            ]
          }
        },
        "quality_signal_confidence": {
          "stars_30d_delta": "snapshot",
          "stars30d_window_days": 23,
          "commits_30d": "complete",
          "releases_180d": "partial",
          "contributors_90d": "partial"
        },
        "source_fields": [
          "project.description",
          "project.topics",
          "project.language",
          "project.license",
          "agent_card.summary_for_agent",
          "agent_card.use_cases",
          "agent_card.deployment",
          "agent_card.classification",
          "metrics"
        ],
        "caveats": [
          "edge-only Cloudflare Workers deployment without adaptation",
          "users expecting a complete hosted product",
          "Partial or estimated quality signals: releases180d, contributors90d."
        ],
        "confidence_reason": "Evidence is usable for comparison, but agents should cite caveats before making a strong recommendation.",
        "last_verified_at": "2026-07-09T10:01:05.797Z"
      },
      "caveats": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "users expecting a complete hosted product",
        "Partial or estimated quality signals: releases180d, contributors90d."
      ],
      "confidence_reason": "Evidence is usable for comparison, but agents should cite caveats before making a strong recommendation.",
      "source_fields": [
        "project.description",
        "project.topics",
        "project.language",
        "project.license",
        "agent_card.summary_for_agent",
        "agent_card.use_cases",
        "agent_card.deployment",
        "agent_card.classification",
        "metrics"
      ],
      "last_verified_at": "2026-07-09T10:01:05.797Z"
    },
    {
      "project_id": "genkit-ai/genkit",
      "repo": "genkit-ai/genkit",
      "name": "genkit",
      "github_url": "https://github.com/genkit-ai/genkit",
      "homepage_url": "https://genkit.dev",
      "language": "TypeScript",
      "license": "Apache-2.0",
      "project_kind": "project",
      "category": [
        "rag_framework"
      ],
      "tags": [
        "agents",
        "ai",
        "embedders",
        "genkit",
        "llm",
        "multimodal",
        "rag",
        "vector-database"
      ],
      "description": "Open-source framework for building AI-powered apps in JavaScript, Go, and Python, built and used in production by Google",
      "overview": "Use genkit-ai/genkit when the user needs a rag framework project with library_only, local, cloud deployment options.",
      "alternatives": [],
      "related": [],
      "dependencies": [
        "Vector database",
        "LLM provider"
      ],
      "deployments": [
        "library_only",
        "local",
        "cloud"
      ],
      "difficulty": "beginner",
      "cloudflare_ready": false,
      "use_cases": [
        "build RAG applications",
        "connect private data to LLMs",
        "index documents for retrieval"
      ],
      "not_good_for": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "users expecting a complete hosted product"
      ],
      "classification": {
        "category": {
          "confidence": "medium",
          "evidence": [
            "Matched \"rag\" in metadata."
          ]
        },
        "deployment": {
          "confidence": "high",
          "evidence": [
            "Matched \"npm install\" in repository content.",
            "Local usage is assumed for open source repositories unless contradicted."
          ]
        },
        "difficulty": {
          "confidence": "medium",
          "evidence": [
            "Repository has under 10k stars, so complexity is treated conservatively."
          ]
        },
        "cloudflare_ready": {
          "confidence": "high",
          "evidence": [
            "Runtime blocker: python.",
            "No Cloudflare deployment signal detected."
          ]
        }
      },
      "quality_signals": {
        "stars": 6160,
        "recent_commits": 82,
        "contributors": 100,
        "issue_response_time_hours": null,
        "release_frequency_180d": 38
      },
      "quality_signal_confidence": {
        "stars_30d_delta": "estimated",
        "commits_30d": "complete",
        "releases_180d": "complete",
        "contributors_90d": "partial"
      },
      "quality_score": 49,
      "agent_score": 83,
      "score": 91,
      "agent_score_breakdown": {
        "documentation": 90,
        "maintenance": 73,
        "deployment": 80,
        "popularity": 76,
        "community": 100
      },
      "git_top_score": 91,
      "git_top_score_breakdown": {
        "community": 100,
        "maintenance": 82,
        "documentation": 84,
        "stability": 90,
        "adoption": 100,
        "agent_readability": 90
      },
      "summary": {
        "tl_dr": "Use genkit-ai/genkit when the user needs a rag framework project with library_only, local, cloud deployment options.",
        "purpose": "Use genkit-ai/genkit when the user needs a rag framework project with library_only, local, cloud deployment options.",
        "install": "Install as a library or package using the repository instructions.",
        "inputs": [
          "documents",
          "queries",
          "embedding store"
        ],
        "outputs": [
          "retrieval results",
          "grounded answers",
          "indexes"
        ],
        "good_for": [
          "build RAG applications",
          "connect private data to LLMs",
          "index documents for retrieval",
          "retrieval augmented generation",
          "document search",
          "knowledge grounding"
        ],
        "not_good_for": [
          "edge-only Cloudflare Workers deployment without adaptation",
          "users expecting a complete hosted product",
          "simple prompt apps",
          "tasks without external knowledge"
        ],
        "deployment": [
          "library_only",
          "local",
          "cloud"
        ],
        "alternatives": []
      },
      "evidence": {
        "classification": {
          "category": {
            "confidence": "medium",
            "evidence": [
              "Matched \"rag\" in metadata."
            ]
          },
          "deployment": {
            "confidence": "high",
            "evidence": [
              "Matched \"npm install\" in repository content.",
              "Local usage is assumed for open source repositories unless contradicted."
            ]
          },
          "difficulty": {
            "confidence": "medium",
            "evidence": [
              "Repository has under 10k stars, so complexity is treated conservatively."
            ]
          },
          "cloudflare_ready": {
            "confidence": "high",
            "evidence": [
              "Runtime blocker: python.",
              "No Cloudflare deployment signal detected."
            ]
          }
        },
        "quality_signal_confidence": {
          "stars_30d_delta": "estimated",
          "commits_30d": "complete",
          "releases_180d": "complete",
          "contributors_90d": "partial"
        },
        "source_fields": [
          "project.description",
          "project.topics",
          "project.language",
          "project.license",
          "agent_card.summary_for_agent",
          "agent_card.use_cases",
          "agent_card.deployment",
          "agent_card.classification",
          "metrics"
        ],
        "caveats": [
          "edge-only Cloudflare Workers deployment without adaptation",
          "users expecting a complete hosted product",
          "Partial or estimated quality signals: stars30dDelta, contributors90d."
        ],
        "confidence_reason": "Evidence is usable for comparison, but agents should cite caveats before making a strong recommendation.",
        "last_verified_at": "2026-07-01T11:01:01.011Z"
      },
      "caveats": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "users expecting a complete hosted product",
        "Partial or estimated quality signals: stars30dDelta, contributors90d."
      ],
      "confidence_reason": "Evidence is usable for comparison, but agents should cite caveats before making a strong recommendation.",
      "source_fields": [
        "project.description",
        "project.topics",
        "project.language",
        "project.license",
        "agent_card.summary_for_agent",
        "agent_card.use_cases",
        "agent_card.deployment",
        "agent_card.classification",
        "metrics"
      ],
      "last_verified_at": "2026-07-01T11:01:01.011Z"
    },
    {
      "project_id": "TaskingAI/TaskingAI",
      "repo": "TaskingAI/TaskingAI",
      "name": "TaskingAI",
      "github_url": "https://github.com/TaskingAI/TaskingAI",
      "homepage_url": "https://www.tasking.ai",
      "language": "Python",
      "license": "Apache-2.0",
      "project_kind": "project",
      "category": [
        "rag_framework"
      ],
      "tags": [
        "agent",
        "ai",
        "ai-native",
        "function-call",
        "generative-ai",
        "gpt",
        "langchain",
        "llm",
        "rag",
        "retrieval-augmented-generation",
        "vector"
      ],
      "description": "The open source platform for AI-native application development.",
      "overview": "Use TaskingAI/TaskingAI when the user needs a rag framework project with docker, library_only, local deployment options.",
      "alternatives": [],
      "related": [],
      "dependencies": [
        "Vector database",
        "LLM provider"
      ],
      "deployments": [
        "docker",
        "library_only",
        "local",
        "cloud"
      ],
      "difficulty": "beginner",
      "cloudflare_ready": false,
      "use_cases": [
        "build RAG applications",
        "connect private data to LLMs",
        "index documents for retrieval"
      ],
      "not_good_for": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "users expecting a complete hosted product"
      ],
      "classification": {
        "category": {
          "confidence": "high",
          "evidence": [
            "Matched \"rag\" in metadata.",
            "Matched \"retrieval-augmented\" in metadata."
          ]
        },
        "deployment": {
          "confidence": "high",
          "evidence": [
            "Matched \"pip install\" in repository content.",
            "Local usage is assumed for open source repositories unless contradicted."
          ]
        },
        "difficulty": {
          "confidence": "medium",
          "evidence": [
            "Repository has under 10k stars, so complexity is treated conservatively."
          ]
        },
        "cloudflare_ready": {
          "confidence": "high",
          "evidence": [
            "Runtime blocker: python.",
            "No Cloudflare deployment signal detected."
          ]
        }
      },
      "quality_signals": {
        "stars": 5389,
        "recent_commits": 0,
        "contributors": 17,
        "issue_response_time_hours": null,
        "release_frequency_180d": 0
      },
      "quality_signal_confidence": {
        "stars_30d_delta": "snapshot",
        "stars30d_window_days": 13,
        "commits_30d": "complete",
        "releases_180d": "complete",
        "contributors_90d": "complete"
      },
      "quality_score": 7,
      "agent_score": 64,
      "score": 70,
      "agent_score_breakdown": {
        "documentation": 90,
        "maintenance": 10,
        "deployment": 90,
        "popularity": 75,
        "community": 62
      },
      "git_top_score": 70,
      "git_top_score_breakdown": {
        "community": 100,
        "maintenance": 7,
        "documentation": 84,
        "stability": 55,
        "adoption": 100,
        "agent_readability": 90
      },
      "summary": {
        "tl_dr": "Use TaskingAI/TaskingAI when the user needs a rag framework project with docker, library_only, local deployment options.",
        "purpose": "Use TaskingAI/TaskingAI when the user needs a rag framework project with docker, library_only, local deployment options.",
        "install": "Run with Docker using the repository's container instructions.",
        "inputs": [
          "documents",
          "queries",
          "embedding store"
        ],
        "outputs": [
          "retrieval results",
          "grounded answers",
          "indexes"
        ],
        "good_for": [
          "build RAG applications",
          "connect private data to LLMs",
          "index documents for retrieval",
          "retrieval augmented generation",
          "document search",
          "knowledge grounding"
        ],
        "not_good_for": [
          "edge-only Cloudflare Workers deployment without adaptation",
          "users expecting a complete hosted product",
          "simple prompt apps",
          "tasks without external knowledge"
        ],
        "deployment": [
          "docker",
          "library_only",
          "local",
          "cloud"
        ],
        "alternatives": []
      },
      "evidence": {
        "classification": {
          "category": {
            "confidence": "high",
            "evidence": [
              "Matched \"rag\" in metadata.",
              "Matched \"retrieval-augmented\" in metadata."
            ]
          },
          "deployment": {
            "confidence": "high",
            "evidence": [
              "Matched \"pip install\" in repository content.",
              "Local usage is assumed for open source repositories unless contradicted."
            ]
          },
          "difficulty": {
            "confidence": "medium",
            "evidence": [
              "Repository has under 10k stars, so complexity is treated conservatively."
            ]
          },
          "cloudflare_ready": {
            "confidence": "high",
            "evidence": [
              "Runtime blocker: python.",
              "No Cloudflare deployment signal detected."
            ]
          }
        },
        "quality_signal_confidence": {
          "stars_30d_delta": "snapshot",
          "stars30d_window_days": 13,
          "commits_30d": "complete",
          "releases_180d": "complete",
          "contributors_90d": "complete"
        },
        "source_fields": [
          "project.description",
          "project.topics",
          "project.language",
          "project.license",
          "agent_card.summary_for_agent",
          "agent_card.use_cases",
          "agent_card.deployment",
          "agent_card.classification",
          "metrics"
        ],
        "caveats": [
          "edge-only Cloudflare Workers deployment without adaptation",
          "users expecting a complete hosted product"
        ],
        "confidence_reason": "Classification evidence and quality signals are strong enough for shortlist reasoning when metadata is current.",
        "last_verified_at": "2026-07-04T06:00:33.435Z"
      },
      "caveats": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "users expecting a complete hosted product"
      ],
      "confidence_reason": "Classification evidence and quality signals are strong enough for shortlist reasoning when metadata is current.",
      "source_fields": [
        "project.description",
        "project.topics",
        "project.language",
        "project.license",
        "agent_card.summary_for_agent",
        "agent_card.use_cases",
        "agent_card.deployment",
        "agent_card.classification",
        "metrics"
      ],
      "last_verified_at": "2026-07-04T06:00:33.435Z"
    },
    {
      "project_id": "pipeshub-ai/pipeshub-ai",
      "repo": "pipeshub-ai/pipeshub-ai",
      "name": "pipeshub-ai",
      "github_url": "https://github.com/pipeshub-ai/pipeshub-ai",
      "homepage_url": "https://pipeshub.com",
      "language": "Python",
      "license": "Apache-2.0",
      "project_kind": "project",
      "category": [
        "rag_framework"
      ],
      "tags": [
        "agent",
        "agents",
        "ai",
        "drive",
        "glean",
        "gmail",
        "knowledge-graph",
        "langchain",
        "langgraph",
        "llamaparse",
        "notion",
        "ollama",
        "perplexity",
        "python",
        "rag",
        "slack"
      ],
      "description": "PipesHub is a fully extensible and explainable workplace AI platform for enterprise search and workflow automation",
      "overview": "Use pipeshub-ai/pipeshub-ai when the user needs a rag framework project with docker, kubernetes, library_only deployment options.",
      "alternatives": [],
      "related": [],
      "dependencies": [
        "Vector database",
        "LLM provider"
      ],
      "deployments": [
        "docker",
        "kubernetes",
        "library_only",
        "local",
        "cloud"
      ],
      "difficulty": "beginner",
      "cloudflare_ready": false,
      "use_cases": [
        "build RAG applications",
        "connect private data to LLMs",
        "index documents for retrieval"
      ],
      "not_good_for": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "users expecting a complete hosted product"
      ],
      "classification": {
        "category": {
          "confidence": "medium",
          "evidence": [
            "Matched \"rag\" in metadata."
          ]
        },
        "deployment": {
          "confidence": "high",
          "evidence": [
            "Found Docker configuration file.",
            "Matched \"kubernetes\" in repository content.",
            "Matched \"library\" in repository content.",
            "Local usage is assumed for open source repositories unless contradicted."
          ]
        },
        "difficulty": {
          "confidence": "medium",
          "evidence": [
            "Repository has under 10k stars, so complexity is treated conservatively."
          ]
        },
        "cloudflare_ready": {
          "confidence": "high",
          "evidence": [
            "Runtime blocker: python.",
            "No Cloudflare deployment signal detected."
          ]
        }
      },
      "quality_signals": {
        "stars": 3009,
        "recent_commits": 100,
        "contributors": 43,
        "issue_response_time_hours": null,
        "release_frequency_180d": 8
      },
      "quality_signal_confidence": {
        "stars_30d_delta": "estimated",
        "commits_30d": "partial",
        "releases_180d": "complete",
        "contributors_90d": "complete"
      },
      "quality_score": 37,
      "agent_score": 81,
      "score": 92,
      "agent_score_breakdown": {
        "documentation": 90,
        "maintenance": 59,
        "deployment": 100,
        "popularity": 70,
        "community": 88
      },
      "git_top_score": 92,
      "git_top_score_breakdown": {
        "community": 100,
        "maintenance": 72,
        "documentation": 92,
        "stability": 100,
        "adoption": 100,
        "agent_readability": 90
      },
      "summary": {
        "tl_dr": "Use pipeshub-ai/pipeshub-ai when the user needs a rag framework project with docker, kubernetes, library_only deployment options.",
        "purpose": "Use pipeshub-ai/pipeshub-ai when the user needs a rag framework project with docker, kubernetes, library_only deployment options.",
        "install": "Run with Docker using the repository's container instructions.",
        "inputs": [
          "documents",
          "queries",
          "embedding store"
        ],
        "outputs": [
          "retrieval results",
          "grounded answers",
          "indexes"
        ],
        "good_for": [
          "build RAG applications",
          "connect private data to LLMs",
          "index documents for retrieval",
          "retrieval augmented generation",
          "document search",
          "knowledge grounding"
        ],
        "not_good_for": [
          "edge-only Cloudflare Workers deployment without adaptation",
          "users expecting a complete hosted product",
          "simple prompt apps",
          "tasks without external knowledge"
        ],
        "deployment": [
          "docker",
          "kubernetes",
          "library_only",
          "local",
          "cloud"
        ],
        "alternatives": []
      },
      "evidence": {
        "classification": {
          "category": {
            "confidence": "medium",
            "evidence": [
              "Matched \"rag\" in metadata."
            ]
          },
          "deployment": {
            "confidence": "high",
            "evidence": [
              "Found Docker configuration file.",
              "Matched \"kubernetes\" in repository content.",
              "Matched \"library\" in repository content.",
              "Local usage is assumed for open source repositories unless contradicted."
            ]
          },
          "difficulty": {
            "confidence": "medium",
            "evidence": [
              "Repository has under 10k stars, so complexity is treated conservatively."
            ]
          },
          "cloudflare_ready": {
            "confidence": "high",
            "evidence": [
              "Runtime blocker: python.",
              "No Cloudflare deployment signal detected."
            ]
          }
        },
        "quality_signal_confidence": {
          "stars_30d_delta": "estimated",
          "commits_30d": "partial",
          "releases_180d": "complete",
          "contributors_90d": "complete"
        },
        "source_fields": [
          "project.description",
          "project.topics",
          "project.language",
          "project.license",
          "agent_card.summary_for_agent",
          "agent_card.use_cases",
          "agent_card.deployment",
          "agent_card.classification",
          "metrics"
        ],
        "caveats": [
          "edge-only Cloudflare Workers deployment without adaptation",
          "users expecting a complete hosted product",
          "Partial or estimated quality signals: stars30dDelta, commits30d."
        ],
        "confidence_reason": "Evidence is usable for comparison, but agents should cite caveats before making a strong recommendation.",
        "last_verified_at": "2026-07-03T07:00:39.438Z"
      },
      "caveats": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "users expecting a complete hosted product",
        "Partial or estimated quality signals: stars30dDelta, commits30d."
      ],
      "confidence_reason": "Evidence is usable for comparison, but agents should cite caveats before making a strong recommendation.",
      "source_fields": [
        "project.description",
        "project.topics",
        "project.language",
        "project.license",
        "agent_card.summary_for_agent",
        "agent_card.use_cases",
        "agent_card.deployment",
        "agent_card.classification",
        "metrics"
      ],
      "last_verified_at": "2026-07-03T07:00:39.438Z"
    },
    {
      "project_id": "dynamiq-ai/dynamiq",
      "repo": "dynamiq-ai/dynamiq",
      "name": "dynamiq",
      "github_url": "https://github.com/dynamiq-ai/dynamiq",
      "homepage_url": "https://getdynamiq.ai",
      "language": "Python",
      "license": "Apache-2.0",
      "project_kind": "project",
      "category": [
        "rag_framework"
      ],
      "tags": [
        "agents",
        "ai",
        "generative-ai",
        "gpt",
        "llm",
        "llmops",
        "rag"
      ],
      "description": "Dynamiq is an orchestration framework for agentic AI and LLM applications",
      "overview": "Use dynamiq-ai/dynamiq when the user needs a rag framework project with docker, library_only, local deployment options.",
      "alternatives": [],
      "related": [],
      "dependencies": [
        "Vector database",
        "LLM provider"
      ],
      "deployments": [
        "docker",
        "library_only",
        "local",
        "cloud"
      ],
      "difficulty": "beginner",
      "cloudflare_ready": false,
      "use_cases": [
        "build RAG applications",
        "connect private data to LLMs",
        "index documents for retrieval"
      ],
      "not_good_for": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "users expecting a complete hosted product"
      ],
      "classification": {
        "category": {
          "confidence": "medium",
          "evidence": [
            "Matched \"rag\" in metadata."
          ]
        },
        "deployment": {
          "confidence": "high",
          "evidence": [
            "Found Docker configuration file.",
            "Matched \"pip install\" in repository content.",
            "Local usage is assumed for open source repositories unless contradicted."
          ]
        },
        "difficulty": {
          "confidence": "medium",
          "evidence": [
            "Repository has under 10k stars, so complexity is treated conservatively."
          ]
        },
        "cloudflare_ready": {
          "confidence": "high",
          "evidence": [
            "Runtime blocker: python.",
            "No Cloudflare deployment signal detected."
          ]
        }
      },
      "quality_signals": {
        "stars": 1057,
        "recent_commits": 35,
        "contributors": 17,
        "issue_response_time_hours": null,
        "release_frequency_180d": 25
      },
      "quality_signal_confidence": {
        "stars_30d_delta": "estimated",
        "commits_30d": "complete",
        "releases_180d": "complete",
        "contributors_90d": "complete"
      },
      "quality_score": 27,
      "agent_score": 71,
      "score": 87,
      "agent_score_breakdown": {
        "documentation": 90,
        "maintenance": 51,
        "deployment": 90,
        "popularity": 60,
        "community": 62
      },
      "git_top_score": 87,
      "git_top_score_breakdown": {
        "community": 100,
        "maintenance": 67,
        "documentation": 84,
        "stability": 100,
        "adoption": 88,
        "agent_readability": 90
      },
      "summary": {
        "tl_dr": "Use dynamiq-ai/dynamiq when the user needs a rag framework project with docker, library_only, local deployment options.",
        "purpose": "Use dynamiq-ai/dynamiq when the user needs a rag framework project with docker, library_only, local deployment options.",
        "install": "Run with Docker using the repository's container instructions.",
        "inputs": [
          "documents",
          "queries",
          "embedding store"
        ],
        "outputs": [
          "retrieval results",
          "grounded answers",
          "indexes"
        ],
        "good_for": [
          "build RAG applications",
          "connect private data to LLMs",
          "index documents for retrieval",
          "retrieval augmented generation",
          "document search",
          "knowledge grounding"
        ],
        "not_good_for": [
          "edge-only Cloudflare Workers deployment without adaptation",
          "users expecting a complete hosted product",
          "simple prompt apps",
          "tasks without external knowledge"
        ],
        "deployment": [
          "docker",
          "library_only",
          "local",
          "cloud"
        ],
        "alternatives": []
      },
      "evidence": {
        "classification": {
          "category": {
            "confidence": "medium",
            "evidence": [
              "Matched \"rag\" in metadata."
            ]
          },
          "deployment": {
            "confidence": "high",
            "evidence": [
              "Found Docker configuration file.",
              "Matched \"pip install\" in repository content.",
              "Local usage is assumed for open source repositories unless contradicted."
            ]
          },
          "difficulty": {
            "confidence": "medium",
            "evidence": [
              "Repository has under 10k stars, so complexity is treated conservatively."
            ]
          },
          "cloudflare_ready": {
            "confidence": "high",
            "evidence": [
              "Runtime blocker: python.",
              "No Cloudflare deployment signal detected."
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          }
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        "quality_signal_confidence": {
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          "commits_30d": "complete",
          "releases_180d": "complete",
          "contributors_90d": "complete"
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        "source_fields": [
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          "project.topics",
          "project.language",
          "project.license",
          "agent_card.summary_for_agent",
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          "agent_card.deployment",
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          "metrics"
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        "caveats": [
          "edge-only Cloudflare Workers deployment without adaptation",
          "users expecting a complete hosted product",
          "Partial or estimated quality signals: stars30dDelta."
        ],
        "confidence_reason": "Evidence is usable for comparison, but agents should cite caveats before making a strong recommendation.",
        "last_verified_at": "2026-07-03T02:00:37.046Z"
      },
      "caveats": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "users expecting a complete hosted product",
        "Partial or estimated quality signals: stars30dDelta."
      ],
      "confidence_reason": "Evidence is usable for comparison, but agents should cite caveats before making a strong recommendation.",
      "source_fields": [
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        "project.topics",
        "project.language",
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        "agent_card.summary_for_agent",
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      "last_verified_at": "2026-07-03T02:00:37.046Z"
    },
    {
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      "repo": "infiniflow/ragflow",
      "name": "ragflow",
      "github_url": "https://github.com/infiniflow/ragflow",
      "homepage_url": "https://ragflow.io",
      "language": "Go",
      "license": "Apache-2.0",
      "project_kind": "project",
      "category": [
        "rag_framework"
      ],
      "tags": [
        "agentic-ai",
        "agentic-retrieval",
        "agentic-search",
        "ai",
        "ai-agents",
        "context-engine",
        "context-management",
        "llm-apps",
        "rag",
        "retrieval-augmented-generation"
      ],
      "description": "RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs",
      "overview": "Use infiniflow/ragflow when the user needs a rag framework project with docker, library_only, local deployment options.",
      "alternatives": [],
      "related": [],
      "dependencies": [
        "Vector database",
        "LLM provider"
      ],
      "deployments": [
        "docker",
        "library_only",
        "local",
        "cloud"
      ],
      "difficulty": "intermediate",
      "cloudflare_ready": false,
      "use_cases": [
        "build RAG applications",
        "connect private data to LLMs",
        "index documents for retrieval"
      ],
      "not_good_for": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "users expecting a complete hosted product"
      ],
      "classification": {
        "category": {
          "confidence": "high",
          "evidence": [
            "Matched \"rag\" in metadata.",
            "Matched \"retrieval-augmented\" in metadata."
          ]
        },
        "deployment": {
          "confidence": "high",
          "evidence": [
            "Found Docker configuration file.",
            "Matched \"npm install\" in repository content.",
            "Local usage is assumed for open source repositories unless contradicted."
          ]
        },
        "difficulty": {
          "confidence": "medium",
          "evidence": [
            "No strong beginner or advanced signal found; defaulting to intermediate."
          ]
        },
        "cloudflare_ready": {
          "confidence": "high",
          "evidence": [
            "Runtime blocker: python, gpu.",
            "No Cloudflare deployment signal detected."
          ]
        }
      },
      "quality_signals": {
        "stars": 84616,
        "recent_commits": 100,
        "contributors": 100,
        "issue_response_time_hours": null,
        "release_frequency_180d": 13
      },
      "quality_signal_confidence": {
        "stars_30d_delta": "snapshot",
        "stars30d_window_days": 21,
        "commits_30d": "partial",
        "releases_180d": "complete",
        "contributors_90d": "partial"
      },
      "quality_score": 84,
      "agent_score": 90,
      "score": 91,
      "agent_score_breakdown": {
        "documentation": 90,
        "maintenance": 76,
        "deployment": 90,
        "popularity": 99,
        "community": 100
      },
      "git_top_score": 91,
      "git_top_score_breakdown": {
        "community": 100,
        "maintenance": 84,
        "documentation": 84,
        "stability": 90,
        "adoption": 100,
        "agent_readability": 90
      },
      "summary": {
        "tl_dr": "Use infiniflow/ragflow when the user needs a rag framework project with docker, library_only, local deployment options.",
        "purpose": "Use infiniflow/ragflow when the user needs a rag framework project with docker, library_only, local deployment options.",
        "install": "Run with Docker using the repository's container instructions.",
        "inputs": [
          "documents",
          "queries",
          "embedding store"
        ],
        "outputs": [
          "retrieval results",
          "grounded answers",
          "indexes"
        ],
        "good_for": [
          "build RAG applications",
          "connect private data to LLMs",
          "index documents for retrieval",
          "retrieval augmented generation",
          "document search",
          "knowledge grounding"
        ],
        "not_good_for": [
          "edge-only Cloudflare Workers deployment without adaptation",
          "users expecting a complete hosted product",
          "simple prompt apps",
          "tasks without external knowledge"
        ],
        "deployment": [
          "docker",
          "library_only",
          "local",
          "cloud"
        ],
        "alternatives": []
      },
      "evidence": {
        "classification": {
          "category": {
            "confidence": "high",
            "evidence": [
              "Matched \"rag\" in metadata.",
              "Matched \"retrieval-augmented\" in metadata."
            ]
          },
          "deployment": {
            "confidence": "high",
            "evidence": [
              "Found Docker configuration file.",
              "Matched \"npm install\" in repository content.",
              "Local usage is assumed for open source repositories unless contradicted."
            ]
          },
          "difficulty": {
            "confidence": "medium",
            "evidence": [
              "No strong beginner or advanced signal found; defaulting to intermediate."
            ]
          },
          "cloudflare_ready": {
            "confidence": "high",
            "evidence": [
              "Runtime blocker: python, gpu.",
              "No Cloudflare deployment signal detected."
            ]
          }
        },
        "quality_signal_confidence": {
          "stars_30d_delta": "snapshot",
          "stars30d_window_days": 21,
          "commits_30d": "partial",
          "releases_180d": "complete",
          "contributors_90d": "partial"
        },
        "source_fields": [
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        "caveats": [
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          "users expecting a complete hosted product",
          "Partial or estimated quality signals: commits30d, contributors90d."
        ],
        "confidence_reason": "Evidence is usable for comparison, but agents should cite caveats before making a strong recommendation.",
        "last_verified_at": "2026-07-09T00:01:08.819Z"
      },
      "caveats": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "users expecting a complete hosted product",
        "Partial or estimated quality signals: commits30d, contributors90d."
      ],
      "confidence_reason": "Evidence is usable for comparison, but agents should cite caveats before making a strong recommendation.",
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        "project.description",
        "project.topics",
        "project.language",
        "project.license",
        "agent_card.summary_for_agent",
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        "metrics"
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      "last_verified_at": "2026-07-09T00:01:08.819Z"
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    "requested_id": "xr843/Master-skill",
    "resolved_id": "xr843/Master-skill",
    "resolution": "direct"
  },
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    "source": "d1",
    "reason": "d1_query",
    "project_count": 895,
    "generated_at": "2026-07-09T16:26:16.205Z",
    "loaded_project_limit": 2000,
    "truncated": false
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}