RAG

開源 RAG 框架

檢索增強生成（RAG）讓大型語言模型根據你自己的文件回答問題：文字先被切成小塊、轉成向量、存進索引，提問時把最相關的幾塊加進提示詞。這裡的專案涵蓋整條管線，或其中一環：文件解析、向量檢索，或完整的問答應用。

怎麼選

RAG 的回答品質主要取決於檢索，而不是模型。比較時看：它怎麼處理 PDF、表格、掃描檔這類困難文件；是否支援關鍵字加向量的混合檢索與重新排序；以及能否顯示答案出自哪些來源。

星數最多的專案

第 97–120 個，共 176 個

NVIDIA

GenerativeAIExamples

★ 4,181

Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.

Jupyter Notebook

GiovanniPasq

agentic-rag-for-dummies

★ 4,166

A modular Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes.

Jupyter Notebook

bragai

bRAG-langchain

★ 4,160

Everything you need to know to build your own RAG application

Jupyter Notebook

langroid

★ 4,104

Harness LLMs with Multi-Agent Programming

Python

nageoffer

ragent

★ 4,015

企业级 Agentic RAG 智能体 - 全链路覆盖文档解析、多路检索、意图识别、问题重写、会话记忆、MCP 工具调用与深度思考。面向真实业务场景，从 0 到 1 完整工程实现。

Java

yifanfeng97

Hyper-Extract

★ 3,935

Hypergraph is more powerful. Transform unstructured text into structured knowledge with LLMs. Graphs, hypergraphs, and spatio-temporal extractions — with one command.

Python

LazyAGI

LazyLLM

★ 3,885

Easiest and laziest way for building multi-agent LLMs applications.

Python

SciSharp

LLamaSharp

★ 3,796

A C#/.NET library to run LLM (🦙LLaMA/LLaVA) on your local device efficiently.

aiming-lab

SimpleMem

★ 3,758

SimpleMem: Efficient Lifelong Memory for LLM Agents — Text & Multimodal

Python

SamurAIGPT

A personal knowledge base that builds and maintains itself. Drop in sources — Claude (or Codex/Gemini) reads them, extracts knowledge, and maintains a persistent interlinked wiki. Works with Claude Code, Codex, OpenCode, Gemini CLI. No API key needed.

Python

DSXiangLi

DecryptPrompt

★ 3,440

总结Prompt&LLM论文，开源数据&模型，AIGC应用

modelscope

evalscope

★ 3,423

A streamlined and customizable framework for efficient large model (LLM, VLM, AIGC) evaluation and performance benchmarking.

Python

johnbean393

Sidekick

★ 3,311

A native macOS app that allows users to chat with a local LLM that can respond with information from files, folders and websites on your Mac without installing any other software. Powered by llama.cpp.

Swift

ombharatiya

ai-system-design-guide

★ 3,302

AI system design guide for engineers building production AI systems and evals.

NVIDIA

skills

★ 3,301

適用於 NVIDIA 產品的代理技能，安裝到 Claude Code、Codex 和其他編碼代理程式中，以端對端運行實體 AI、機器人、模擬、CUDA 和 RAG 工作流程。技能目錄產品|說明 |技能 |愛智商 | NVIDIA AI-Q 藍圖 - 部署本地 AI-Q 服務並作為代理技能運行淺層或深層研究工作流程。

Python