Langchain Chatchat
Basic Information
Langchain-Chatchat is a repository focused on building retrieval-augmented generation (RAG) systems and agent-style applications using the LangChain framework. It integrates multiple large language models such as ChatGLM, Qwen, and Llama to enable developers to experiment with cross-model setups and agent orchestration. The project, formerly known as Langchain-ChatGLM, provides code and integration patterns that combine LangChain tooling with different LLM backends to implement retrieval, prompting, and agent behaviors. It is intended as a practical resource for developers and researchers who want ready examples and patterns for constructing multi-model conversational and reasoning agents.
Links
Stars
35881
Github Repository
Categorization
App Details
Features
Key features include a LangChain-based architecture and explicit support for integrating ChatGLM, Qwen, and Llama model backends. The repository emphasizes RAG workflows and agent orchestration patterns that combine retrieval components with LLM-driven prompt and response cycles. It provides example code and configurations to connect different models and to implement agent behaviors and retrieval pipelines. The project highlights multi-model compatibility and migration from earlier ChatGLM-focused implementations, offering reusable integration patterns rather than a single hosted service.
Use Cases
This repository helps developers accelerate prototyping of RAG and agent systems by providing LangChain-native integrations with multiple LLMs and demonstrative agent patterns. It reduces the engineering effort required to connect ChatGLM, Qwen, and Llama backends and shows how to combine retrieval components with model prompts and agent loops. Users can reuse example configurations, learn orchestration strategies for multi-model setups, and adapt existing LangChain ChatGLM projects to other models. The project is targeted at teams exploring multi-model strategies or building conversational and reasoning agents with retrieval augmentation.
-
$$$$ -
$$$$