Vector Framework Integrations

WEBINAR

The Next Generation of MariaDB: Powered by Vector Search

Watch Now

Vectors are available from MariaDB 11.7.

MariaDB Vector has integrations in several frameworks.

AI Framework Integrations

• LangChain, MariaDB Vector Store - Python

• LangChain.js, MariaDB Vector Store - Node.js

• LangChain4j, MariaDB Embedding Store - Java

• LlamaIndex, MariaDB Vector Store - Python

• MCP (Model Context Protocol), MariaDB MCP server - Python

• Spring AI, MariaDB Vector Store - Java

• VectorDBBench - benchmarking for vector databases

Potential Future Vector or AI Integrations

• AutoGen - Agent to agent, Python

• DB-GPT - private LLM, vector search and text2sql, see integration docs, Python

• DSPy - Workflow, not accepting external integrations anymore, Python

• Feast - machine learning (not GenAI), Python

• Firebase Studio template for MariaDB Vector - visit link to vote for suggestion

• LangGraph - Agentic workflow, Python

• MindSQL - Text-to-SQL RAG Library simplifying database interactions, Python

• Open WebUI - AI Interface, Python & Javascript

• Vanna AI - Vector search and text2sql, Python

For further alternatives, see Qdrant's list of framework integrations.

_{This page is licensed: CC BY-SA / Gnu FDL}