# 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: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://mariadb.com/docs/tools/mariadb-ai-rag.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.