Langchain-Chatchat

Langchain-Chatchat

Langchain-Chatchat(原Langchain-ChatGLM)基于 Langchain 与 ChatGLM, Qwen 与 Llama 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and Llama) RAG and Agent app with langchain

github AI Tools Python free
★ 37,839Stars
6,196Forks
37,839Watchers
15Views
Nov 2025Last Update

About Langchain-Chatchat

Langchain-Chatchat(原Langchain-ChatGLM)基于 Langchain 与 ChatGLM, Qwen 与 Llama 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and Llama) RAG and Agent app with langchain

What you should know about Langchain-Chatchat

Langchain-Chatchat — Langchain-Chatchat(原Langchain-ChatGLM)基于 Langchain 与 ChatGLM, Qwen 与 Llama 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and Llama) RAG and Agent app with langchain. It is categorized under AI Tools and primarily built with Python. The project has gathered 37,839 stars and 6,196 forks on GitHub, indicating strong adoption among developers.

Pricing & licensing: This tool is offered free of charge , released under the Apache-2.0 license. The source code is openly available on GitHub, allowing engineers to audit, contribute, or fork as needed.

Use cases & topics: Langchain-Chatchat is associated with the following topics: chatbot, chatchat, chatglm, chatgpt, embedding, faiss, fastchat, gpt. Teams working in chatbot / chatchat / chatglm spaces typically evaluate this kind of tool when scoping new architecture decisions or replacing legacy components.

Getting started: Check out the official GitHub repository for installation steps, configuration examples, and the latest release notes. Most teams hit value within the first week if the tool aligns with their existing AI Tools stack.

Editor's note from Fanny Engriana (Founder, Wardigi Digital Agency): when evaluating tools in the AI Tools category for our agency clients, we look at three things first — license clarity, community size, and active maintenance. Tools with explicit license terms and ongoing commits tend to remain viable across multi-year projects.

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