Build Production-Grade AI Applications
Stop integrating. Start innovating. MariaDB delivers the performance and native connectivity you need to build production-grade AI applications.
Start Building for Free on MariaDB Cloud
Simplify AI on the Database You Trust
Power your generative AI applications with high-performance vector search and seamless LLM integration, all within a single, simplified enterprise platform.
Focus on Innovation, Not Integration
Stop wrestling with a fragmented toolchain. MariaDB’s all-in-one platform streamlines your entire AI workflow, giving you the fastest path from data to breakthrough.
Reduce Risk with a Unified Platform
Fragmented solutions create risk by moving data between services, expanding your attack surface. MariaDB’s unified platform eliminates this vulnerability. Your most valuable asset – your data – never leaves the trusted security of your database environment.
Build Exceptionally Responsive AI
The biggest performance bottleneck in a fragmented AI stack is network latency. MariaDB eliminates this by processing workloads inside the database, crushing the slow network hops that cripple other applications. The result is faster queries, more responsive experiences, and answers delivered directly from your freshest operational data.
Reduce Your AI TCO
Building an AI stack often means stitching together separate vector databases, analytics engines and middleware – each with its own cost and complexity. MariaDB eliminates this fragmented approach by integrating a full suite of AI and analytics capabilities directly into the platform you already trust. This dramatically lowers your total cost of ownership (TCO) and provides a predictable, sustainable financial path as your AI initiatives grow.
EBOOK
Practical Guide to Integrated Vector Search
Stop complexity and cost. Learn how to embed high-performance vector search directly
into your relational database for faster AI deployment.
Capabilities
Vector Embedded Search
MariaDB’s vector embedded search integrates vector capabilities directly into the core database engine, allowing you to manage embeddings and relational data in one place.
AI RAG
MariaDB AI RAG is an all-in-one, enterprise-ready solution that eliminates the complexity of building and deploying RAG applications. AI RAG lowers build costs, reduces dependencies and accelerates delivery.
MCP Server
The MariaDB MCP Server acts as a seamless bridge between your database and AI applications, supporting both traditional SQL operations and modern vector-based semantic search through the Model Context Protocol.
AI Agents
MariaDB Cloud AI agents empower applications to interact with your MariaDB database using natural language. Through a no-code builder featuring text-to-SQL capabilities, anyone can create semi-autonomous agents that possess a deep, semantic understanding of your data.
AI Framework Integrations
MariaDB’s native vector search capabilities allow it to act as a powerful and efficient backend for leading AI frameworks, simplifying the development of generative AI applications by unifying your data stack.
LangChain
Build sophisticated chatbots and agents using MariaDB for both Vector Store similarity search using MariaDBStore and persistent ChatMessageHistory.
Spring AI
Easily add vector search to enterprise Java applications with the MariaDBVectorStore implementation, providing a familiar data layer for Spring developers.
LangChain.js
Integrate MariaDB as a vector store in JavaScript and TypeScript RAG applications using the MariaDBStore for efficient similarity search, enabling scalable, full-stack LLM workflows grounded in your data.
LlamaIndex
Use MariaDB as a native Vector Store to power Retrieval-Augmented Generation (RAG) pipelines, grounding LLMs in your data for more accurate and context-aware responses.
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