langchain-ai/openevals Graph

Graph Summary

langchain-ai/openevals graph connects 3 alternatives, 8 related projects, 2 inferred dependencies, 3 deployment targets, and 3 use cases.

Nodes69

Edges431

Projects53

Dependencies49

Open project knowledge Find alternatives Explore related projects Explain score Compare shortlist

Alternatives3 linked signals Related8 linked signals Dependencies2 linked signals Deployments3 linked signals Use Cases3 linked signals Categories28 linked signals Migrations3 linked signals

Project Context

openevals

Maintainerlangchain-ai

LicenseMIT

LanguagePython

Recent activityActive in the last week

Deployment Targets

Dependencies

Knowledge Graph

69 nodes / 431 edges

langchain-ai/openevals ↔ huggingface/transformersUse huggingface/transformers when the user needs a rag framework project with library-only, local, cloud deployment options.

langchain-ai/openevals ↔ ggml-org/llama.cppUse ggml-org/llama.cpp when the user needs a rag framework project with docker, library-only, local deployment options.

langchain-ai/openevals ↔ infiniflow/ragflowUse infiniflow/ragflow when the user needs a rag framework project with docker, library-only, local deployment options.

langchain-ai/openevals ↔ ggml-org/whisper.cppUse ggml-org/whisper.cpp when the user needs a rag framework project with docker, library-only, local deployment options.

langchain-ai/openevals ↔ lancedb/lancedbUse lancedb/lancedb when the user needs a rag framework project with docker, library-only, local deployment options.

langchain-ai/openevals ↔ NVIDIA/TensorRT-LLMUse NVIDIA/TensorRT-LLM when the user needs a rag framework project with docker, kubernetes, serverless deployment options.

Alternatives Network

Replacement candidates

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langchain-ai/openevals ↔ langchain-ai/langgraphUse langchain-ai/langgraph when the user needs a rag framework project with library-only, local, cloud deployment options.

langchain-ai/openevals ↔ bytedance/deer-flowUse bytedance/deer-flow when the user needs a rag framework project with docker, library-only, local deployment options.

langchain-ai/openevals ↔ LMCache/LMCacheUse LMCache/LMCache when the user needs a rag framework project with kubernetes, library-only, local deployment options.

langchain-ai/openevals ↔ huggingface/transformersUse huggingface/transformers when the user needs a rag framework project with library-only, local, cloud deployment options.

langchain-ai/openevals ↔ mem0ai/mem0Use mem0ai/mem0 when the user needs a rag framework project with docker, vercel, serverless deployment options.

langchain-ai/openevals ↔ stanfordnlp/dspyUse stanfordnlp/dspy when the user needs a rag framework project with library-only, local, cloud deployment options.

Migration Paths

What to verify before switching

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These paths are evidence-backed heuristics, not drop-in compatibility claims.

langchain-ai/openevals -> langchain-ai/langgraphCompatibility: high / estimated cost: low.Shared: category:rag_framework, deployment:library_only, deployment:local, deployment:cloud, use_case:build RAG applications, use_case:connect private data to LLMs, use_case:index documents for retrieval, dependency:Vector database.Gaps: No indexed gap; still run the validation steps.Validate: Compare API, configuration, license, and dependency requirements. Run the target project's minimal example or test suite. Verify deployment, persistence, and tool-execution behavior in the requested runtime.

langchain-ai/openevals -> bytedance/deer-flowCompatibility: high / estimated cost: low.Shared: category:rag_framework, deployment:library_only, deployment:local, deployment:cloud, use_case:build RAG applications, use_case:connect private data to LLMs, use_case:index documents for retrieval, dependency:Vector database.Gaps: No indexed gap; still run the validation steps.Validate: Compare API, configuration, license, and dependency requirements. Run the target project's minimal example or test suite. Verify deployment, persistence, and tool-execution behavior in the requested runtime.

langchain-ai/openevals -> LMCache/LMCacheCompatibility: high / estimated cost: medium.Shared: category:rag_framework, deployment:library_only, deployment:local, deployment:cloud, use_case:build RAG applications, use_case:connect private data to LLMs, use_case:index documents for retrieval, dependency:Vector database.Gaps: License changes from MIT to Apache-2.0.Validate: Review license obligations before migrating production code. Compare API, configuration, license, and dependency requirements. Run the target project's minimal example or test suite. Verify deployment, persistence, and tool-execution behavior in the requested runtime.

Use Cases