chatchat-space/Langchain-Chatchat

Health v2 · maintenance only

Adoption not part of the score

38581 stars · 6268 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Langchain-Chatchat is an open-source, offline-deployable RAG and Agent application built on Langchain and LLMs such as ChatGLM, Qwen, and Llama. It provides local knowledge-base question answering with support for multiple model inference frameworks and vector stores.

Use cases

• build a local knowledge base chatbot
• question answering over my own documents with an llm
• run a private offline rag application
• chat with pdfs and documents locally
• deploy a self-hosted chatgpt alternative with local models
• build an agent app on top of chatglm or qwen

When to choose

• you need fully offline/private deployment of a knowledge-base QA system
• you want Chinese-language-friendly RAG with open-source models
• you want pluggable model backends like Ollama, Xinference, or FastChat
• you prefer a ready-made application over building RAG from scratch

When to avoid

• you need a lightweight library to embed RAG into your own codebase
• you require managed cloud RAG services
• you only need simple prompt-based chat without document retrieval

Facets

application · maturity active

rag chatbot agent-framework llm-inference search-engine web-framework large-language-models chatbots self-hosted python self-hosted cross-platform local-knowledge-base chatglm qwen llama langchain offline-deployment vector-store embeddings streamlit xinference ollama faiss milvus retrieval-augmented-generation ai-agents natural-language-processing docker

Member repositories

For agents

markdown · JSON · MCP: product_card(name="chatchat-space/Langchain-Chatchat")