LlamaIndex vs LangChain(2026)
LlamaIndex is better for teams that need best-in-class for rag. LangChain is the stronger choice if largest ecosystem. LlamaIndex is open-source (from $0) and LangChain is open-source (from $0).
Full feature breakdown, pricing details, and pros & cons below.
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LlamaIndex
LlamaIndex is a data framework for LLM applications specializing in connecting LLMs to external data sources — with best-in-class RAG pipelines, data connectors, and indexing strategies.
Starting at $0
Visit LlamaIndexLangChain
LangChain is the most widely used framework for building LLM applications with chains, agents, memory, and retrieval-augmented generation (RAG) — available in Python and JavaScript.
Starting at $0
Visit LangChainHow Do LlamaIndex and LangChain Compare on Features?
| Feature | LlamaIndex | LangChain |
|---|---|---|
| Pricing model | open-source | open-source |
| Starting price | $0 | $0 |
| RAG pipelines | ✓ | — |
| 100+ data connectors | ✓ | — |
| Multi-modal support | ✓ | — |
| Agents | ✓ | — |
| Query engines | ✓ | — |
| Observability | ✓ | — |
| Python + TypeScript | ✓ | — |
| Chains and agents | — | ✓ |
| RAG support | — | ✓ |
| Memory management | — | ✓ |
| Tool calling | — | ✓ |
| LangSmith (observability) | — | ✓ |
| Vector store integrations | — | ✓ |
| Python + JS | — | ✓ |
LlamaIndex Pros and Cons vs LangChain
LlamaIndex
LangChain
Should You Use LlamaIndex or LangChain?
Choose LlamaIndex if…
- •Best-in-class for RAG
- •Rich data connectors
- •Strong enterprise adoption
Choose LangChain if…
- •Largest ecosystem
- •Best documentation
- •Rapid prototyping