Pyyan / Compare / Graphiti vs LlamaIndex vs LangChain & LangGraph vs Haystack

Graphiti vs LlamaIndex vs LangChain & LangGraph vs Haystack

4 of 5

RAG & Knowledge Graphs · verified 13 Aug 2026

×GraphitiZepcurrent
×LlamaIndexLlamaIndexcurrent
×LangChain & LangGraphLangChaincurrent
×Haystackdeepsetcurrent
1 slot left
SpecificationGraphitiLlamaIndexLangChain & LangGraphHaystack
SummaryA temporal knowledge graph, built for agent memory.The strongest option for document-centric retrieval.Orchestration, with retrieval as one piece.A strict pipeline abstraction, built for regulated work.
KindLibraryFrameworkFrameworkFramework
GraphYes, temporalYes, property graph indexVia integrationsVia integrations
LanguagePythonPython, TypeScriptPython, TypeScriptPython
LicenceApache 2.0MITMITApache 2.0
GitHub stars~12k~45k~120k~20k
CategoryRAG & Knowledge GraphsRAG & Knowledge GraphsRAG & Knowledge GraphsRAG & Knowledge Graphs
OfficialZepLlamaIndexLangChaindeepset

Highlighted rows are where these differ.

Graphiti

  • Records when something was true and when it was learned
  • The engine behind Zep's LongMemEval result

Best for facts that change over time.

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 →

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 →

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 →