> For the complete documentation index, see [llms.txt](https://mariadb.com/docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://mariadb.com/docs/tools/mariadb-ai-rag.md).

# MariaDB AI RAG

MariaDB AI RAG is an all-in-one, enterprise-ready solution that handles the entire Retrieval-Augmented Generation (RAG) pipeline, including document parsing with layout extraction, chunking, embedding generation, and easy-to-use retrieval APIs backed by hybrid search (vector + full-text search), with optional reranking before sending the relevant context to a foundation model for answer generation.

### Key Features

* Document ingestion and processing
* Semantic chunking and embedding
* Vector-based similarity search
* AI-powered response generation
* Database integration
* Fine-grained access control
* Comprehensive REST API

For detailed information on each component, please refer to the specific documentation sections.

<sub>*This page is: Copyright © 2025 MariaDB. All rights reserved.*</sub>

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# Agent Instructions
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