轻量级本地知识库 RAG 问答系统 · Streamlit + LangChain + Chroma，支持知识库上传与检索增强问答
$ git clone https://github.com/lhh737/KnowledgeBase-RAG-LLM-System.gitThis repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models
基于 LangChain/LangGraph 的 ReAct Agent，结合 RAG 检索、工具调用与 Streamlit 界面，面向智能客服与报告生成场景。
Visualization for a Retrieval-Augmented Generation (RAG) Assistant 🤖❤️📚
GEO（AI 搜索引擎优化）智能内容优化平台 — 帮助品牌在 ChatGPT、Perplexity 等 AI 回答中被优先引用。支持关键词策略、多平台内容生成、E-E-A-T 优化、多模型验证和数据分析。
Completely local RAG. Chat with your PDF documents (with open LLM) and UI to that uses LangChain, Streamlit, Ollama (Llama 3.1), Qdrant and advanced methods like reranking and semantic chunking.
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
Data from GitHub · snapshot Nov 13, 2026