mariadb/ai-rag repository overview

⁠MariaDB AI RAG

MariaDB AI RAG is an enterprise-grade Retrieval-Augmented Generation (RAG) solution that integrates with MariaDB to provide AI-powered document processing, semantic search, and natural language generation capabilities.

By combining the reliability of MariaDB with modern AI capabilities, AI RAG provides accurate, context-aware responses based on your organization's proprietary data.

⁠Features

• Document Ingestion & Processing: Advanced layout-aware document processing via Llamaparse & Docling.
• Semantic Chunking & Embedding: Multi-provider support (OpenAI, Gemini, Cohere, HuggingFace).
• Vector-Based Similarity Search: Uses MariaDB Vector search for ultra-fast, reliable retrieval.
• AI-Powered Response Generation: LLM-agnostic response synthesis (OpenAI, Gemini, Ollama, etc.).
• Model Context Protocol (MCP) Server: Built-in MCP server for integrating with your IDE.
• Comprehensive REST API: Easy to integrate into your existing applications.

Follow deployment guide (https://mariadb.com/docs/tools/mariadb-ai-rag/deployment/overview⁠) to see the system requirements and installation instructions.