chegangan/eino-rag
一个基于 Eino 框架的综合性大模型应用，用eino实现了一个流式对话AI和一个集成了Qdrant向量数据库的RAG知识库。是学习和实践大模型工程化的绝佳案例。
This project helps developers quickly build sophisticated large language model (LLM) applications. It provides a full-featured conversational AI chat server and a Retrieval Augmented Generation (RAG) knowledge base. You input your text documents or chat queries, and it outputs intelligent responses, drawing on either general LLM capabilities or specific information from your documents. This is for developers or solutions architects looking to engineer complex LLM systems.
No commits in the last 6 months.
Use this if you are a developer looking for an example of how to rapidly build, orchestrate, and extend complex LLM applications using the Eino framework, especially for chat interfaces and custom knowledge bases.
Not ideal if you are an end-user seeking a ready-to-use chat application or knowledge base without needing to integrate and configure backend services and APIs.
Stars
8
Forks
—
Language
Go
License
MIT
Category
Last pushed
Sep 26, 2025
Commits (30d)
0
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