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Langchain-Chatchat

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Project Description

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

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 | L

Project Title

Langchain-Chatchat — Open-Source, Offline-Capable RAG and Agent Application for Local Knowledge-Based LLMs

Overview

Langchain-Chatchat is an open-source project that provides a local knowledge-based question-answering application using large language models (LLMs) like ChatGLM, Qwen, and Llama, along with the Langchain framework. It aims to offer a solution friendly to Chinese scenarios and open-source models, supporting offline deployment. The project stands out for its comprehensive support for mainstream open-source LLMs, embedding models, and vector databases, enabling private, offline deployments.

Key Features

  • Comprehensive support for various mainstream LLMs, embedding models, and vector databases.
  • Offline, private deployment capabilities.
  • Integration with OpenAI GPT API and continuous expansion of model and API support.
  • Utilizes frameworks like Xinference and Ollama to接入 models such as GLM-4-Chat, Qwen2-Instruct, and Llama3.
  • Provides API services through FastAPI and a WebUI for operation using Streamlit.

Use Cases

  • Enterprises requiring a private, offline knowledge base问答 system.
  • Developers looking to leverage local knowledge for chatbot applications without reliance on cloud services.
  • Researchers and data scientists needing to experiment with various LLMs in an offline environment.

Advantages

  • Open-source and customizable, allowing for community contributions and improvements.
  • Supports a wide range of models and frameworks, offering flexibility in deployment.
  • Enables the creation of knowledge-based applications that can operate without internet connectivity.

Limitations / Considerations

  • The project does not include model training or fine-tuning processes, which may be necessary for certain applications.
  • While it supports a variety of models, the effectiveness can vary depending on the specific model used.

Similar / Related Projects

  • Langchain: The framework that Langchain-Chatchat is based on, providing a foundation for building applications with LLMs.
  • ChatGLM: One of the LLMs that can be used with Langchain-Chatchat, known for its capabilities in Chinese language processing.
  • Qwen: Another LLM that can be integrated with Langchain-Chatchat, offering an alternative for language model usage.

Basic Information


📊 Project Information

🏷️ Project Topics

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📚 Documentation

🎥 Video Tutorials


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Project Information

Created on 3/31/2023
Updated on 9/8/2025