Project Graph

deepset-ai/haystack-core-integrations

A relationship view of alternatives, deployments, compatible protocols, dependencies, use cases, and categories.

Graph Summary

deepset-ai/haystack-core-integrations graph connects 3 alternatives, 8 related projects, 2 inferred dependencies, 2 deployment targets, and 3 use cases.

Nodes65
Edges429
Projects49
Dependencies48

Project Context

haystack-core-integrations

Maintainerdeepset-ai
LicenseApache-2.0
LanguagePython
Recent activityActive in the last week

Deployment Targets

localcloud

Dependencies

Vector databaseLLM provider

Knowledge Graph

65 nodes / 429 edges

deepset-ai/haysta… focus rag framework category local deployment cloud deployment build RAG app… use case connect priva… use case index documen… use case Vector databa… dependency LLM provider dependency transformers project langgraph project LMCache project deer-flow project genkit project llm-d project

Migration Paths

What to verify before switching

JSON

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

deepset-ai/haystack-core-integrations -> huggingface/transformersCompatibility: high / estimated cost: low.Shared: category:rag_framework, 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, dependency:LLM provider.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.
deepset-ai/haystack-core-integrations -> langchain-ai/langgraphCompatibility: high / estimated cost: medium.Shared: category:rag_framework, 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, dependency:LLM provider.Gaps: License changes from Apache-2.0 to MIT.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.
deepset-ai/haystack-core-integrations -> LMCache/LMCacheCompatibility: high / estimated cost: low.Shared: category:rag_framework, 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, dependency:LLM provider.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.

Use Cases

build RAG applicationsconnect private data to LLMsindex documents for retrieval

Categories

rag framework

Alternatives

huggingface/transformerslangchain-ai/langgraphLMCache/LMCachemloda-ai/mlodabytedance/deer-flowxorbitsai/inference

Related Projects

bytedance/deer-flowgenkit-ai/genkitllm-d/llm-dmloda-ai/mlodacrmne/ruby_llminfiniflow/ragflow