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Huixiangdou: Group Chat Assistant Based on LLM (Large Language Model)

General Introduction

HuixiangDou is a large-scale language model (LLM)-based group chat assistant designed to cope with group chat scenarios through a three-stage pre-processing, rejection and response process. It is able to answer user questions without causing information flooding. The project provides complete Web, Android, and pipeline source code that is industrial-grade and commercially viable.HuixiangDou supports multiple instant messengers, such as WeChat and Lark, and is capable of handling multimodal messages.

 


Huixiangdou: Group Chat Assistant Based on LLM (Large Language Model)

 

 

Function List

Intelligent Q&A for Group Chat Scenarios

Huixiangdou: Group Chat Assistant Based on LLM (Large Language Model)

Support for instant messengers such as WeChat and Lark

 

Huixiangdou: Group Chat Assistant Based on LLM (Large Language Model)

 

Huixiangdou: Group Chat Assistant Based on LLM (Large Language Model)

multimodal information processing

Web and Android versions available

Low memory requirements, minimum 2GB

Configuration example VGA memory requirements descriptive
config-cpu.ini - Using the siliconcloud API
Search text only
config-2G.ini 2GB Using the openai API (e.g. kimi, deepseek and stepfun)
Search text only
config-multimodal.ini 10GB LLM with openai API, graphical search
[Standard version]config.ini 19GB Local Deployment LLM, Unimodal
config-advanced.ini 80GB Local LLM, denotational disambiguation, unimodal, microtome utility

 

Can be used without training

 

Supports multiple model access

LLM file format Search method instant messaging (IM) preprocessing
  • InternLM2/InternLM2.5
  • Qwen/Qwen2
  • Lingua Franca
  • StepFun
  • KIMI
  • DeepSeek
  • GLM (ZHIPU)
  • SiliconCloud
  • Xi-Api
  • pdf
  • word
  • excel
  • ppt
  • html
  • markdown
  • txt
  • knowledge map
  • Internet search
  • SourceGraph
  • Graphic mixing (markdown only)
  • WeChat
  • Lark

 

 

Using Help

Visit the GitHub page for source code and documentation
Join the WeChat or Lark group chat experience
Check out the demo videos on BiliBili and YouTube!
Refer to the README file for installation and configuration

 

Our web version has been posted toOpenXLabYou can create knowledge bases, update positive and negative samples, enable web search, test chats, and integrate into Flybook/WeChat groups. ViewBiliBilicap (a poem)YouTube!

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