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

Haystack vs LangChain & LangGraph vs RAGFlow vs GraphRAG

4 of 5

RAG & Knowledge Graphs · verified 13 Aug 2026

×Haystackdeepsetcurrent
×LangChain & LangGraphLangChaincurrent
×RAGFlowInfiniFlowcurrent
×GraphRAGMicrosoftcurrent
1 slot left
SpecificationHaystackLangChain & LangGraphRAGFlowGraphRAG
SummaryA strict pipeline abstraction, built for regulated work.Orchestration, with retrieval as one piece.Visual pipeline builder, deep document understanding.Build a knowledge graph first, then query it.
KindFrameworkFrameworkPlatformLibrary
GraphVia integrationsVia integrationsYesYes, core
LanguagePythonPython, TypeScriptPythonPython
LicenceApache 2.0MITApache 2.0MIT
GitHub stars~20k~120k~35k~25k
CategoryRAG & Knowledge GraphsRAG & Knowledge GraphsRAG & Knowledge GraphsRAG & Knowledge Graphs
OfficialdeepsetLangChainInfiniFlowMicrosoft

Highlighted rows are where these differ.

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 →

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 →

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 →