Pyyan / Compare / LangChain & LangGraph vs LlamaIndex vs Haystack vs RAGFlow vs GraphRAG

LangChain & LangGraph vs LlamaIndex vs Haystack vs RAGFlow vs GraphRAG

5 of 5

RAG & Knowledge Graphs · verified 13 Aug 2026

×LangChain & LangGraphLangChaincurrent
×LlamaIndexLlamaIndexcurrent
×Haystackdeepsetcurrent
×RAGFlowInfiniFlowcurrent
×GraphRAGMicrosoftcurrent
SpecificationLangChain & LangGraphLlamaIndexHaystackRAGFlowGraphRAG
SummaryOrchestration, with retrieval as one piece.The strongest option for document-centric retrieval.A strict pipeline abstraction, built for regulated work.Visual pipeline builder, deep document understanding.Build a knowledge graph first, then query it.
KindFrameworkFrameworkFrameworkPlatformLibrary
GraphVia integrationsYes, property graph indexVia integrationsYesYes, core
LanguagePython, TypeScriptPython, TypeScriptPythonPythonPython
LicenceMITMITApache 2.0Apache 2.0MIT
GitHub stars~120k~45k~20k~35k~25k
CategoryRAG & Knowledge GraphsRAG & Knowledge GraphsRAG & Knowledge GraphsRAG & Knowledge GraphsRAG & Knowledge Graphs
OfficialLangChainLlamaIndexdeepsetInfiniFlowMicrosoft

Highlighted rows are where these differ.

LangChain & LangGraph

  • LangGraph adds durable state and checkpointing
  • Widely used, and widely argued about

Best for agents that retrieve as one step among many.

Full spec sheet →

LlamaIndex

  • Deep document handling and many indexing strategies
  • The common advice is LlamaIndex for retrieval, LangGraph for orchestration

Best for PDFs, knowledge bases, structured data.

Full spec sheet →

Haystack

  • Every step is declared, which is what audits need
  • Cleanest option where a wrong answer has consequences

Best for finance, health, legal and government.

Full spec sheet →

RAGFlow

  • Strong document parsing built in
  • The usual entry point for non-developers

Best for teams without a Python engineer.

Full spec sheet →

GraphRAG

  • Extracts entities and relationships, then summarises communities
  • Answers “what are the themes here” which vector search cannot
  • Expensive to index

Best for questions no single chunk can answer.

Full spec sheet →