MariaDB AI RAG

The Gen AI Dilemma:
Powerful Models, Unreliable Answers

Enterprises are eager to adopt generative AI to unlock the value in their data. But Large Language Models (LLMs) are prone to hallucination and lack context about your specific business, leading to inaccurate or irrelevant answers.

The solution is Retrieval-Augmented Generation (RAG), a technique that grounds AI in your data. While RAG solves the accuracy problem, deploying it has traditionally been a nightmare of complexity—stitching together separate vector databases, retrievers, and AI frameworks, which introduces security risks, high costs, and a steep learning curve.

The Solution:
RAG Without the Plumbing

MariaDB AI RAG is an all-in-one, enterprise-ready solution that eliminates the complexity of building and deploying RAG applications. We provide everything you need to connect generative AI to your data securely and efficiently, allowing you to focus on building applications, not managing infrastructure.

Say goodbye to the typical RAG workflow that requires:

• Separate Databases: Managing a separate vector database and building fragile ETL pipelines to keep it in sync.
• Complex Code: Writing complex “glue code” to orchestrate data chunking, embedding, and retrieval.
• Security Risks: Exposing your data to new vulnerabilities every time it moves between systems.

MariaDB AI RAG consolidates this entire workflow into a single, secure platform. It’s the fastest and simplest way to enable your existing MariaDB database with generative AI capabilities.

The MariaDB Advantage:
A Unified, Secure Platform

MariaDB AI RAG consolidates the entire RAG pipeline into a single, robust platform, providing benefits that multi-tool solutions can’t match.

Radical Simplicity: One Vendor, One Stack

Forget the headaches of managing multiple vendors and complex integrations. MariaDB AI RAG includes native vector search and simple, developer-friendly APIs, eliminating the need for separate tools like LangChain or LlamaIndex and removing the requirement for deep GenAI expertise.

Flexible Integration via REST API

Connect any application, in any language—no complex database drivers or proprietary libraries required. Our REST API provides a universal endpoint, freeing your developers to build with the stack they already know and trust.

Uncompromising Security: Keep Your Data Yours

Our security-first approach ensures your sensitive data never leaves your environment. Unlike complex pipelines that move data between services, our solution keeps your data securely within your own MariaDB database.

Lower Total Cost of Ownership (TCO)

Leverage your existing MariaDB deployment and expertise. By adding RAG capabilities to the same platform you already trust, you eliminate the cost and complexity of purchasing, integrating, and managing a separate vector database and middleware.

Enterprise-Grade Performance

Built on MariaDB’s powerful and scalable foundation, our RAG solution is tuned for the low-latency performance that enterprise applications demand.

Supercharge RAG with AI Agents
and MCP Server

Take your AI capabilities to the next level by integrating MariaDB AI RAG with the Enterprise MCP Server. This powerful combination allows an AI Agent to not only retrieve accurate information but also to reason and act on it.

• AI Agent alone = Smart reasoning but limited or stale knowledge.
• RAG alone = Accurate retrieval but no ability to act or automate.
• AI Agent + MariaDB AI RAG = An autonomous, accurate, and adaptive system that can answer questions and perform tasks.

Use Cases

Automate Customer Support

Instantly answer customer support FAQs by allowing an AI to query your internal knowledge bases and documentation.

Natural Language Data Analytics

Empower business users to ask questions of their data in plain English and get immediate, accurate answers from your databases.

Intelligent Documentation Search

Allow engineers and employees to instantly find technical information and answers buried in internal documentation.

Compliance and Policy Assistance

Build AI assistants that can quickly and accurately answer complex questions about company policies and regulatory documents.