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

Unstructured vs LlamaIndex vs LangChain & LangGraph vs Haystack

4 of 5

RAG & Knowledge Graphs · verified 13 Aug 2026

×UUnstructuredUnstructuredcurrent
×LlamaIndexLlamaIndexcurrent
×LangChain & LangGraphLangChaincurrent
×Haystackdeepsetcurrent
1 slot left
SpecificationUnstructuredLlamaIndexLangChain & LangGraphHaystack
SummaryGets documents into a shape a pipeline can use.The strongest option for document-centric retrieval.Orchestration, with retrieval as one piece.A strict pipeline abstraction, built for regulated work.
KindLibraryFrameworkFrameworkFramework
GraphNoYes, 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
OfficialUnstructuredLlamaIndexLangChaindeepset

Highlighted rows are where these differ.

Unstructured

  • PDF, DOCX, HTML, email and more into elements
  • The unglamorous layer most RAG failures actually come from

Best for the ingestion step nobody enjoys writing.

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 →