RAG

Bookmark manager for the wizards 🧙

The code used to train and run inference with the ColVision models, e.g. ColPali, ColQwen2, and ColSmol.

A persistent, unified memory layer for all your AI agents (e.g. Claude Code, Codex, DSH), backed by Markdown and Milvus.

Easily compute clip embeddings and build a clip retrieval system with them

编程导航 AI 开发实战新项目，基于 Spring Boot 3 + Java 21 + Spring AI 构建 AI 恋爱大师应用和 ReAct 模式自主规划智能体YuManus，覆盖 AI 大模型接入、Spring AI 核心特性、Prompt 工程和优化、RAG 检索增强、向量数据库、Tool Calling 工具调用、MCP 模型上下文协议、AI Agent 开发（Manas Java 实现）、Cursor AI 工具等核心知识。用一套教程将程序员必知必会的 AI 技术一网打尽，帮你成为 AI 时代企业的香饽饽，给你的简历和求职大幅增加竞争力。

All-in-one platform for search, recommendations, RAG, and analytics offered via API

Multi-tool for semantic search

Awesome-GraphRAG: A curated list of resources (surveys, papers, benchmarks, and opensource projects) on graph-based retrieval-augmented generation.

Comprehensive resources on Generative AI, including a detailed roadmap, projects, use cases, interview preparation, and coding preparation.

A new SOTA for RAG — an original retrieval architecture and an open-source knowledge base for humans and agents.

Build, run and scale AI agents like API and microservices

Documentation compiler for humans and machines. One Markdown source to website, search, AI context, and knowledge formats together.

🧭 Architecture-first system design: 26 bilingual tutorials, 25 architecture templates, and 6 end-to-end cases covering distributed systems, AI-native systems, RAG, coding Agents, and production trade-offs.

Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.

VCP 部署在 AI 模型 API 与前端应用之间，是面向AGI OS开发和探索的工业级基建示范项目。通过统一指令协议、多层级持久化记忆、分布式插件引擎及多 Agent 协作框架，将原本“无状态、无记忆、无工具调用能力”的大语言模型，彻底改造成拥有永久自我意识、物理世界操作权及群体协作智能的完整智能体系统。

The collection of pre-trained, state-of-the-art AI models for ailia SDK

Distributed vector search for AI-native applications

EdegQuake 🌋 High-performance GraphRAG inspired from LightRag written in Rust; Transform documents into intelligent knowledge graphs for superior retrieval and generation

Local-first AI job intelligence workbench for scraping roles, ranking fit, and generating tailored application materials.

Fast State-of-the-Art Static Embeddings

This repository is deprecated and will be archived

Research project. A Memory solution for users, teams, and applications.

Scalable, Low-latency and Hybrid-enabled Vector Search in Postgres. Revolutionize Vector Search, not Database.

NestJS Helper + AI Chatbot Development

The Agentic Framework of the PHP ecosystem to build production-ready AI driven applications. Connect components (LLMs, Tools, vector DBs, memory) to agents that interact with your data and UI.

The open-source RAG platform: built-in citations, deep research, 22+ file formats, partitions, MCP server, and more.

Open-source persistent memory for AI agent pipelines (LangGraph, CrewAI, AutoGen) and Claude. REST API + knowledge graph + autonomous consolidation.

AI-native HTAP database with Git-for-Data and built-in vector search, serving as the data and memory backbone for intelligent agents and applications.

[ACL2026] "MiniRAG: Making RAG Simpler with Small and Open-Sourced Language Models"

[ACL 2023] One Embedder, Any Task: Instruction-Finetuned Text Embeddings

A community-driven collection of RAG (Retrieval-Augmented Generation) frameworks, projects, and resources. Contribute and explore the evolving RAG ecosystem.

Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.

The Virtual Feature Store. Turn your existing data infrastructure into a feature store.

Full-stack AI app generator — FastAPI + Next.js with AI Agents, RAG, streaming, auth, and 20+ integrations out of the box.

NVIDIA AI Blueprint for video search and summarization (VSS) is a GPU-accelerated reference architecture for building video analytics agents with real-time verified alerts, visual Q&A, and automated reporting. The VSS Blueprint uses vision language models (VLMs) such as NVIDIA Cosmos, LLMs such as NVIDIA Nemotron, RAG, and NVIDIA NIMs.

Semantic Search & Call Graphs for AI Agents (100% Local)

SeekStorm: vector & lexical search - in-process library & multi-tenancy server, in Rust.

Text-To-Speech, RAG, and LLMs. All local!

A curated collection of AI agent research papers released in 2026, covering agent engineering, memory, evaluation, workflows, and autonomous systems.

Nomic Developer API SDK

Semantic search and document parsing tools for the command line

A curated list of awesome embedding models tutorials, projects and communities.

A robust, all-in-one GPT interface for Discord. ChatGPT-style conversations, image generation, AI-moderation, custom indexes/knowledgebase, youtube summarizer, and more!

Scalable, fast, and disk-friendly vector search in Postgres, the successor of pgvecto.rs.

Practical course about Large Language Models.

OpenCode plugin that gives coding agents persistent memory using local vector database

YouTube Full Text Search - Search all of YouTube from the command line

中文长文本分类、短句子分类、多标签分类、两句子相似度（Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short），字词句向量嵌入层（embeddings）和网络层（graph）构建基类，FastText，TextCNN，CharCNN，TextRNN, RCNN, DCNN, DPCNN, VDCNN, CRNN, Bert, Xlnet, Albert, Attention, DeepMoji, HAN, 胶囊网络-CapsuleNet, Transformer-encode, Seq2seq, SWEM, LEAM, TextGCN

WFGY is heading toward WFGY 5.0 Polaris Protocol, a major open-source release for AI reasoning, RAG, agents, and real-world workflows. Includes Problem Map, Global Debug Card, WFGY 4.0, and the CFV Easter Egg.

AI-native workspace for local shells and remote machines.Zero Webview, zero OpenSSL, zero telemetry, and no app subscription.Written in Rust+GPUI