RAG / 向量检索排行

A Node.js RESTful server for a Retrieval-Augmented Generation (RAG) system using ChromaDB and Ollama!

A modular, multilingual, and multimodal Retrieval-Augmented Generation (RAG) system tailored for the financial analysis of Public Investment Fund (PIF) annual reports.

Code for the paper [SIGIR'26]“Towards Mixed-Modal Retrieval for Universal Retrieval-Augmented Generation”

对标蚂蚁阿福的开源大健康 AI 助手，基于 LangGraph + FastAPI + React，支持多智能体、RAG、报告解读、拍照问药与链路评估。Open-source AI health assistant inspired by Ant Afu, with multi-agent routing, RAG, multimodal medical vision, tracing, and evals.

OMGM: Orchestrate Multiple Granularities and Modalities for Efficient Multimodal Retrieval (ACL 2025 Main Conference)

Kairos: An autonomous development supervisor powered by Context Engineering. It provides a living memory and a contextual constitution for your projects to prevent AI context loss.

Local AI for Apple Silicon. Chat with open LLMs (Qwen, Gemma, DeepSeek, Mistral, Llama…) fully offline on your Mac via Apple MLX — private by design, zero telemetry.

🧠 Enterprise AI-Enhanced Development Platform with GraphRAG, LlamaIndex, Multi-Tenant Architecture, and Advanced Security & Compliance. Transform your development workflow with persistent memory, intelligent automation, and 99.9% uptime.

Decentralized vector database on Bittensor — content-addressed semantic memory for AI

High-performance LLM query cache with semantic search. Reduce API costs 80% and latency from 8.5s to 1ms using Redis + Qdrant vector DB. Multi-provider support (OpenAI, Anthropic).

Elixir RAG library with multi-LLM routing (Gemini, Claude, OpenAI, Ollama), GraphRAG, knowledge graphs, modular retrievers/rerankers, composable pipelines, pgvector integration, advanced chunking, and tool-using agents. Fork of bitcrowd/rag.

A simple yet powerful semantic AI search engine⚡️

AI powered legal research engine. The system is based on multi AI agentic RAG systems leveraging the power of Llama3 LLM

AI Search engine

LogosDB is the SQLite for AI Agents.

The data layer for AI with Vector, Graph and Vector-Math built into one single rust engine

Multimodal document QA: vision + retrieval over PDFs (LLaVA + LlamaIndex)

LLM, Fine Tuning, Llama 2, Gemma, Mixtral, vLLM, LangChain, RAG, ChromaDB, FAISS

让 MinerU 在 AMD 显卡上以 vLLM + hybrid-auto-engine 满血运行！ 本项目是对官方文档中 AMD/ROCm 生态支持的有效补充。针对 MinerU 3.x 提供了一套完整的 ROCm 7.x + PyTorch 2.11.0 + vLLM 源码编译与部署方案，解析质量与速度对标 NVIDIA 旗舰显卡。

AI hardware fit calculator for LLM, embedding, reranker, OCR and VLM workloads — VRAM, throughput, licensing and multi-GPU planning