ApeRAG: Production-ready GraphRAG with multi-modal indexing and K8s deployment

Summary

ApeRAG 🚀 Try ApeRAG Live Demo - Experience the full platform capabilities with our hosted demo ApeRAG is a production-ready RAG (Retrieval-Augmented Generation) platform that combines Graph RAG, vector search, and full-text search with advanced AI agents. Build sophisticated AI applications with hybrid retrieval, multimodal document processing, intelligent agents, and enterprise-grade management features. ApeRAG is the best choice for building your own Knowledge Graph, Context Engineering, and deploying intelligent AI agents that can autonomously search and reason across your knowledge base. 阅读中文文档 Quick Start Before installing ApeRAG, make sure your machine meets the following minimum system requirements: CPU >= 2 Core RAM >= 4 GiB Docker & Docker Compose The easiest way to start ApeRAG is through Docker Compose. Before running the following commands, make sure that Docker and Docker Compose are installed on your machine: git clone https://github.com/apecloud/ApeRAG.git cd ApeRAG cp envs/env.template .env docker-compose up -d --pull always After running, you can access ApeRAG in your browser at: Web Interface : http://localhost:3000/web/ : http://localhost:3000/web/ API Documentation: http://localhost:8000/docs MCP (Model Context Protocol) Support ApeRAG supports MCP (Model Context Protocol) integration, allowing AI assistants to interact with your knowledge base directly. After starting the services, configure your MCP client with: { "mcpServers" : { "aperag-mcp" : { "url" : " https://rag.apecloud.com/mcp " , "headers" : { "Authorization" : " Bearer your-api-key-here " } } } } Important: Replace http://localhost:8000 with your actual ApeRAG API URL and your-api-key-here with a valid API key from your ApeRAG settings. The MCP server provides: Collection browsing : List and explore your knowledge collections : List and explore your knowledge collections Hybrid search : Search using vector, full-text, and graph methods : Search using vector, full-text, and graph meth...