📖 The AI Tool Bible

Haystack vs LlamaIndex

A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.

 
Haystack
RAG
LlamaIndex
RAG
TaglineOpen-source Python framework from deepset for building production RAG pipelines and LLM agents.Data framework for connecting LLMs to your data.
CategoryRAGRAG
PricingFreemium· Open-source free; deepset Enterprise Support and AI Platform via salesFreemium· Free open-source; LlamaCloud paid
ModelMulti-modelBYO (Claude / GPT / open)
Editorial score—8.7 / 10
Use cases
ragagentssemantic-searchconversational-aitool-use
RAGdata ingestionindexing
Pros
  • Genuinely open source (Apache-2.0) with an active community
  • Composable pipeline graph is serializable and easy to inspect
  • Wide integration matrix across LLM providers and vector stores
  • Production-oriented: K8s friendly, cloud-agnostic, debuggable
  • Focused on retrieval (not general agent stuff)
  • Many ingestion connectors
  • Strong production patterns
  • LlamaCloud for managed ingestion
Cons
  • More boilerplate than higher-level agent frameworks
  • Enterprise platform pricing is opaque
  • Python-only; no first-class JS/TS SDK
  • API surface is large
  • Documentation can be hard to navigate
Websitehaystack.deepset.aiwww.llamaindex.ai
Pick Haystack if
  • ✅ Genuinely open source (Apache-2.0) with an active community
  • ✅ Composable pipeline graph is serializable and easy to inspect
  • ✅ Wide integration matrix across LLM providers and vector stores
  • ✅ Production-oriented: K8s friendly, cloud-agnostic, debuggable
Pick LlamaIndex if
  • ✅ Focused on retrieval (not general agent stuff)
  • ✅ Many ingestion connectors
  • ✅ Strong production patterns
  • ✅ LlamaCloud for managed ingestion
Compare a different pair →