Langchain-Chatchat vs LlamaIndex
A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.
Langchain-Chatchat RAG | LlamaIndex RAG | |
|---|---|---|
| Tagline | Self-hostable RAG and agent framework that wires LangChain to any local open-source LLM and a knowledge base. | Data framework for connecting LLMs to your data. |
| Category | RAG | RAG |
| Pricing | Free· Apache-2.0 open source; self-hosted, infra costs only | Freemium· Free open-source; LlamaCloud paid |
| Model | Multi-model (GLM-4, Qwen2, Llama 3, etc. via Xinference/Ollama/LocalAI/FastChat) | BYO (Claude / GPT / open) |
| Editorial score | — | 8.7 / 10 |
| Use cases | private-knowledge-baseoffline-ragdocument-qalocal-llm-agentsenterprise-chatbot | RAGdata ingestionindexing |
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| Website | github.com | www.llamaindex.ai |
Pick Langchain-Chatchat if
- ✅ Fully offline, self-hosted RAG stack with Apache-2.0 license
- ✅ Framework-agnostic: plugs into Xinference, Ollama, LocalAI, FastChat, One API
- ✅ Ships both Streamlit UI and FastAPI service with OpenAI-compatible endpoints
- ✅ Built-in agent tools (SQL chat, arXiv, Wolfram, text-to-image)
Pick LlamaIndex if
- ✅ Focused on retrieval (not general agent stuff)
- ✅ Many ingestion connectors
- ✅ Strong production patterns
- ✅ LlamaCloud for managed ingestion