Description\n-----------\n\nMariaDB Vector has integrations in several frameworks.\n\nAI Framework Integrations\n\n LangChain, MariaDB Vector Store - Python\n LangChain.js, MariaDB Vector Store - Node.js\n LangChain4j, MariaDB Embedding Store - Java\n LlamaIndex, MariaDB Vector Store - Python\n MCP (Model Context Protocol), MariaDB MCP server - Python\n Spring AI, MariaDB Vector Store - Java\n VectorDBBench - benchmarking for vector databases\n\nPotential Future Vector or AI Integrations\n AutoGen - Agent to agent, Python\n DB-GPT - private LLM, vector search and text2sql, see integration docs, Python\n DSPy - Workflow, not accepting external integrations anymore, Python\n Feast - machine learning (not GenAI), Python\n Firebase Studio template for MariaDB Vector - visit link to vote for suggestion\n LangGraph - Agentic workflow, Python\n MindSQL - Text-to-SQL RAG Library simplifying database interactions, Python\n Open WebUI - AI Interface, Python & Javascript\n Vanna AI - Vector search and text2sql, Python\n\nFor further alternatives, see Qdrant's list of framework integrations.\n\nURL: https://mariadb.com/docs/server/reference/sql-structure/vectors/vector-framework-integrations