Databases

An open-source, AI-powered harness for data engineering that gives a coding agent more than 100 deterministic tools for SQL analysis, column-level lineage, dbt and warehouse connectivity across ten cloud warehouses.

• Databases
• Data engineering

A long-term memory service for AI assistants that combines a graph database of typed relationships with a vector index, so an assistant can recall the reasoning behind a decision rather than only similar past text.

• Agent memory
• Databases

An MCP server that lets an IDE run SQL, manage schema migrations and call the Supabase Management and Auth Admin APIs, with built-in safety controls, no longer actively maintained.

• MCP servers
• Databases

A Postgres server and extension that automates turning table text into embeddings and provides hooks into popular LLMs, for full-text, semantic and hybrid search.

• RAG
• Databases

A graph database that combines Neo4j-compatible Bolt and Cypher access with vector search and MVCC-based historical reads, aimed at agent memory, graph-RAG and audit-friendly knowledge stores.

• Agent memory
• Databases

A self-hosted database editor and SQL IDE that deploys next to the data it manages, supporting eighteen engines including PostgreSQL, MySQL, MongoDB, Redis, and ClickHouse behind one interface.

• Databases

A local, no-GPU RESTful memory and knowledge-base layer for AI agents and chatbots, storing files and text in a vector database behind a web UI.

• Agent memory
• Databases

A collection of Model Context Protocol servers from Neo4j Labs that let an MCP client such as Claude Desktop or an IDE assistant query a Neo4j database and the Aura cloud service in natural language.

• MCP servers
• Databases

GraphRAG-SDK is a GraphRAG framework built on the FalkorDB graph database that grounds LLM answers in a knowledge graph rather than vector similarity alone, tracing each answer to its source chunks so an app can inspect the evidence or decline to answer.

• RAG
• Databases

An embeddable vector database for Go with a Chroma-like interface and no third-party dependencies, running in memory with optional persistence.

• Databases

JamAI Base is an open-source retrieval-augmented-generation backend that pairs an embedded SQLite database with an embedded LanceDB vector store behind a spreadsheet-like UI and a REST API, so LLM calls, embeddings and reranking can be wired together as table columns.

• RAG
• Databases

The official Model Context Protocol server for MongoDB, letting an AI agent connect to a self-managed MongoDB deployment or MongoDB Atlas through a common set of tools.

• MCP servers
• Databases

An open-source, self-hosted enterprise and site search server built on OpenSearch, with a web crawler for sites, file systems and databases, a REST API, and AI/RAG semantic search.

• RAG
• Databases

A multi-model DBMS supporting SQL, Cypher, Gremlin, HTTP/JSON, MongoDB, and Redis query interfaces over graph, document, key-value, time-series, and vector data in one engine.

• Databases

A benchmarking tool for vector databases and cloud vector search services, covering insertion, vector search, filtered search and full-text search under one visual interface.

• Testing
• Databases

A high-performance AI search and retrieval platform built for retrieval-augmented generation, semantic search, and hybrid search, designed to hold up to a billion vectors on a single node.

• RAG
• Databases

An open-source in-memory data grid that stores and distributes key/value data across elastically scalable clusters for high availability and fault tolerance.

• Databases

The official Python client and SDK for the Qdrant vector search engine, with type definitions for the full API, synchronous and asynchronous requests, and a local mode that runs without a server.

• Databases

A library and set of command-line tools for high-speed approximate nearest neighbor search over large, high-dimensional vector data, using neighborhood graph and tree indexes.

• Databases

A Model Context Protocol server that lets an AI application safely explore and query a MySQL database, listing tables as resources, reading their contents, and running SQL queries through a controlled interface.

• MCP servers
• Databases

The official Python SDK for the Milvus vector database, giving Python applications a client library matched to specific Milvus server versions.

• Databases

A Chinese medical question-answering system that combines a Neo4j knowledge graph of diseases with BERT-based entity recognition and a local LLM, using structured graph retrieval instead of a vector database to reduce hallucination.

• RAG
• Databases

An embeddable, ACID-compliant Datalog database built on a fork of LMDB, offering Datomic-style queries with a cost-based query optimizer and full-text and graph-style search.

• Databases

An open-source, no-code tool that generates REST, GraphQL, and MCP endpoints for a database, running in a container on Azure, another cloud, or on-premises.

• APIs
• Databases