SoupCola/Agent_Project
这是一个结合了RAG（Retrieval-Augmented Generation）和网络搜索功能的Agent项目，能够同时检索本地知识库和进行网络搜索，为用户提供全面的信息服务。项目通过API调用大语言模型进行推理，同时使用本地的bce-embedding-base_v1嵌入模型和Chroma向量数据库处理本地知识库检索，并采用ms-marco-MiniLM-L-6-v2交叉编码模型进行结果重排序。支持多角度查询和抽象查询等高级检索策略，提升检索准确性和回答质量。
This project helps you get comprehensive answers to complex questions by searching both your internal documents and the internet. You input a question or task, and it provides a detailed, well-researched answer, synthesizing information from multiple sources. It's designed for professionals who need to quickly gather and process information from diverse sources to make informed decisions.
Use this if you need an AI assistant that can autonomously research complex topics, combining your private knowledge base with up-to-date web search results to provide thorough, intelligent answers.
Not ideal if you only need to search pre-defined internal documents without any web-browsing capabilities or advanced task planning.
Stars
32
Forks
3
Language
Python
License
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Category
Last pushed
Dec 29, 2025
Commits (30d)
0
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