{"repo":"Aquiles-ai/Aquiles-RAG","free":true,"listed":false,"github":"https://github.com/Aquiles-ai/Aquiles-RAG","clone":"git clone https://github.com/Aquiles-ai/Aquiles-RAG.git","description":"Is a high-performance Augmented Recovery-Generation (RAG) solution based on Redis, Qdrant or PostgreSQL. It offers a high-level interface using FastAPI REST APIs","language":"Python","stars":30,"topics":["api-rest","embeddings","fastapi","high-performance","llm","openai","rag","rag-chatbot","redis","qdrant"],"license":"Apache-2.0","category":"ai-agents","readme_excerpt":"Aquiles-RAG Self-hosted RAG infrastructure with MCP Server support 🚀 FastAPI • Redis / Qdrant / PostgreSQL • Async • Embedding-agnostic • MCP Ready 🎯 What is Aquiles-RAG? Aquiles-RAG is a production-ready RAG (Retrieval-Augmented Generation) API server that brings high-performance vector search to your applications. Choose your backend (Redis, Qdrant, or PostgreSQL), connect your embedding model, and start building intelligent search systems in minutes. Why Aquiles-RAG? Challenge Aquiles-RAG Solution ----------- ---------------------- 💸 Expensive vector databases Use Redis, Qdrant, or PostgreSQL you already have 🔒 Data leaves your infrastructure Everything runs on your servers 🔧 Complex RAG setup Interactive wizard configures everything 🐌 Slow integrations Async clients, batch operations, optimized pipelines 🚫 Vendor lock-in Switch backends without changing code Key Features - 🔌 Backend Flexibility - Redis HNSW, Qdrant, or PostgreSQL pgvector - ⚡ High Performance - Async operations, batch processing, optimized search - 🤖 MCP Server Built-in - Native Model Context Protocol support for AI assistants - 🛠️ Interactive Setup - CLI wizard configures your entire stack - 🔄 Sync & Async Clients - Python and TypeScript/JavaScript SDKs included - 📊 Optional Re-ranking - Improve results with semantic re-scoring 🚀 Quick Start Installation Interactive Setup Configure your vector database in seconds: The wizard guides you through: - Backend selection (Redis, Qdrant, or PostgreS","default_branch":null,"files":null,"tree":[],"storefront":"/r/Aquiles-ai","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/Aquiles-ai/Aquiles-RAG/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}