RAG / 向量检索排行

Full-text and semantic search on any Postgres

End-to-end RAG system design, evaluation, and optimization. 极客时间RAG训练营，RAG 10大组件全面拆解，4个实操项目吃透 RAG 全流程。RAG的落地，往往是面向业务做RAG，而不是反过来面向RAG做业务。这就是为什么我们需要针对不同场景、不同问题做针对性的调整、优化和定制化。魔鬼全在细节中，我们深入进去探究。

ARGO is an open-source AI Agent platform that brings Local Manus to your desktop. With one-click model downloads, seamless closed LLM integration, and offline-first RAG knowledge bases, ARGO becomes a DeepResearch powerhouse for autonomous thinking, task planning, and 100% of your data stays locally. Support Win/Mac/Docker.

🔥 This repository contains complete application examples, including websites and other projects, developed using Firecrawl.

Long-term memory for AI assistants. Graph + vector store that recalls decisions, relationships, and context across sessions.

Train Models Contrastively in Pytorch

♾️ Private Agent Fleet with Spec Coding. Each agent gets their own GPU-accelerated desktop. Run Claude, Codex, Gemini and open models on a full private AI Stack ♾️

This repository contains the implementation of AutoSchemaKG, a novel framework for automatic knowledge graph construction that combines schema generation via conceptualization.

AI-First Album: Chat with your gallery using plain language! LLM Vision + RAG + Album/Gallery.

Shared Single-file memory layer for all your agents, sub mili-second RAG over text, photo and video on Apple Silicon.. No Server. No API. One File. Pure Swift

An ops AI Agent that understands your infrastructure, finds the root cause, and fixes it — right from Slack, Telegram, Lark or DingTalk.

Samples showing how to build Java applications powered by Generative AI and LLMs using Spring AI and Spring Boot.

Fast, streaming indexing, query, and agentic LLM applications in Rust

An Innovative Agent Framework Driven by KG Engine

The most advanced, fully offline client-side AI suite on Android today.

Framework for enhancing LLMs for RAG tasks using fine-tuning.

Ingest files for retrieval augmented generation (RAG) with open-source Large Language Models (LLMs), all without 3rd parties or sensitive data leaving your network.

Healthy Diet AI Agent is a Bun + TypeScript backend for nutrition chat, food-image analysis, RAG document ingestion, and knowledge-grounded diet guidance.

公开的 Java 后端 / AI Agent / 系统设计 / 算法面试复习资料库

This NVIDIA RAG blueprint serves as a reference solution for a foundational Retrieval Augmented Generation (RAG) pipeline.