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

Verba vs LlamaIndex vs LangChain & LangGraph vs Haystack

4 of 5

RAG & Knowledge Graphs · verified 13 Aug 2026

×VerbaWeaviatecurrent
×LlamaIndexLlamaIndexcurrent
×LangChain & LangGraphLangChaincurrent
×Haystackdeepsetcurrent
1 slot left
SpecificationVerbaLlamaIndexLangChain & LangGraphHaystack
SummaryAn open-source RAG interface you can hand to a user.The strongest option for document-centric retrieval.Orchestration, with retrieval as one piece.A strict pipeline abstraction, built for regulated work.
KindApplicationFrameworkFrameworkFramework
GraphNoYes, property graph indexVia integrationsVia integrations
LanguagePythonPython, TypeScriptPython, TypeScriptPython
LicenceBSD-3MITMITApache 2.0
GitHub stars~7k~45k~120k~20k
CategoryRAG & Knowledge GraphsRAG & Knowledge GraphsRAG & Knowledge GraphsRAG & Knowledge Graphs
OfficialWeaviateLlamaIndexLangChaindeepset

Highlighted rows are where these differ.

Verba

  • Ingestion, chunking and chat in one app
  • Weaviate underneath

Best for putting a face on a corpus quickly.

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 →