rag

[RAG训练营] u.geekbang.org/subject/airag/1009927 这是我用Cursor自行制作的RAG Framework，好处是可以掌控RAG每一个环节的教学细节。

A Survey of Personalization: From RAG to Agent

Build Enterprise RAG (Retriver Augmented Generation) Pipelines to tackle various Generative AI use cases with LLM's by simply plugging componants like Lego pieces.

A full-stack ai agent chat project, built with langgraph+fastapi+nextjs, supporting tool invocation and RAG knowledge base

AI Agent Work shop include Agent from Corepython, using CrewAI and Using SmolAgent

(WIP) Open Knowledge Layer(OpenKL): The Advance Knowledge and Memory for Personal Agents.

Frontend AI coding agent platform with CLI, VS Code extension, desktop app, MCP server, RAG planning, Skills, SDD guardrails, browser automation, and LoRA planner models | 面向前端工程的 AI Agent 平台，支持 CLI、VS Code 插件、桌面端、MCP 服务、RAG、Skills、SDD、浏览器自动化与 LoRA 规划模型

🚀 Building Go applications with LLMs through composability

A Python CLI to test, benchmark, and find the best RAG chunking strategy for your Markdown documents.

Initiative to evaluate and rank the most popular LLMs across common task types based on their propensity to hallucinate.

MCP server that lets Claude Code and other AI agents work through large PDFs, and whole folders of them, without overflowing context: hybrid semantic + keyword search, selective page reading, tables, images, OCR, chart data, and multi-column/CJK layouts.

 MCP server providing AI agents with instant access to Apple developer documentation via RAG

A cognition aware database engine for AI agent memory. Purpose built in Rust with WAL, HNSW, knowledge graphs, and speculative context pre assembly. Not a wrapper, a ground up storage engine that thinks.

Streamlit demo of Scrapegraph-ai for GPT4-hackaton

Learn GenAI and Agentic AI from Zero to Production

A python library for creating AI assistants with Vectara, using Agentic RAG

🦀 Agentic RAG for drug intelligence · 57 skills · 15 task categories · DTI · ADR · DDI · PGx · Repurposing · Powered by LangGraph

A privacy-focused AI chat platform built with Vite + Capacitor + Cloudflare. Runs locally or in the cloud, supports Gemini models, live web search, and intelligent key rotation. No sign-up required — fast, secure, and customizable.

Use LLMs for building real-world apps

A diverse, simple, and secure all-in-one LLMOps platform