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Langchain-Chatchat

Free

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 Ll

Search ToolsFreeFree tier
Inputs: textOutputs: text
Type
Open Source
GitHub (38.0k stars)

About Langchain-Chatchat

Langchain-Chatchat is an open-source project that enables users to build Retrieval-Augmented Generation (RAG) and Agent applications using local large language models (LLMs) such as ChatGLM, Qwen, and Llama, orchestrated by the Langchain framework. It is designed to run entirely offline, allowing users to leverage their own documents and knowledge bases for question-answering and task automation without relying on external APIs. The project supports multiple model backends and provides a user-friendly web interface for interaction, document management, and configuration. As an open-source tool, it is freely available for download and customization, with the source code hosted on GitHub under the chatchat-space organization.

Key Features

Supports multiple local LLMs including ChatGLM, Qwen, and Llama
RAG (Retrieval-Augmented Generation) for knowledge-based question answering
Agent functionality for task automation and tool use
Runs entirely offline, no internet required for inference
Web-based user interface for chat and document management
Open-source and free to use, modify, and deploy
Integration with Langchain for modular pipeline construction

Pros & Cons

Pros
  • Fully open-source with no licensing fees
  • Operates offline, ensuring data privacy and security
  • Supports a variety of popular open-source LLMs
  • Modular architecture based on Langchain allows customization
  • Active community and regular updates on GitHub
Cons
  • Requires significant local computational resources (GPU recommended) for running LLMs
  • Setup and configuration can be complex for non-technical users
  • Output quality depends on the chosen model and its capabilities
  • Free tier is the entire project, but users must provide their own hardware and models

Best For

Building a private knowledge base chatbot for internal company documentsCreating an offline assistant for sensitive data that cannot be sent to cloud APIsDeveloping a research tool that answers questions based on a personal collection of papersAutomating workflows with agent-based task execution using local LLMsEducational projects to learn about RAG and LLM application development

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FAQ

What is Langchain-Chatchat?
Langchain-Chatchat is an open-source project that combines Langchain with local LLMs like ChatGLM, Qwen, and Llama to create RAG and Agent applications that run entirely offline.
Is Langchain-Chatchat free to use?
Yes, the project is open-source and free to use, modify, and deploy. Users are responsible for their own hardware and model acquisition.
Do I need an internet connection to use Langchain-Chatchat?
No, the tool is designed to run offline once the models and dependencies are downloaded. No external API calls are required during inference.
What models does Langchain-Chatchat support?
It supports ChatGLM, Qwen, Llama, and other compatible open-source language models. The exact list may expand over time; users should check the GitHub repository for the latest supported models.
Can I use Langchain-Chatchat for commercial purposes?
Since it is open-source, commercial use is generally allowed, but users must comply with the licenses of the underlying models and dependencies. It is recommended to review each component's license.
How do I install Langchain-Chatchat?
Installation instructions are provided in the GitHub repository. It typically involves cloning the repo, setting up a Python environment, and installing dependencies. Detailed steps should be followed from the official documentation.