Databases

A distributed graph database that stores its data in object storage such as S3, separating durable storage from a compute tier that serves queries and builds traversal indexes.

• Databases

A full-text, vector and hybrid search engine and RAG pipeline that runs in the browser, on a server or at the edge, with typo tolerance, facets, geosearch and a plugin system.

• RAG
• Databases

A data layer for physical AI that logs, queries and visualizes multimodal robotics data, such as images, point clouds and joint states, in a real-time viewer while streaming the same data into training.

• Databases

An embedded retrieval library for multimodal AI data that stores and indexes vectors, text, images, and other data for vector, full-text, and SQL search at scale.

• Databases

A vector database that indexes and semantically searches millions of personal documents on a laptop using about 97 percent less storage than conventional vector databases, without losing search accuracy.

• Databases

An all-in-one Python framework for semantic search, LLM orchestration and language-model workflows, built around an embeddings database that combines vector search with graph and relational storage.

• RAG
• Databases

An open-source, MPP real-time analytics and search database that runs fast SQL queries, accelerates queries over lakehouse table formats, and combines structured, text and vector search in one SQL engine.

• Databases
• Data engineering

A lightweight, in-process vector database that embeds directly into an application for similarity search, combining dense and sparse vectors with full-text search and structured filters.

• Databases

A WebAssembly build of Postgres packaged as a TypeScript client library, letting an application run Postgres directly in the browser, Node.js, Bun, or Deno with no other dependencies to install.

• Databases

An open-source Model Context Protocol server that connects AI agents, IDEs and applications directly to databases such as PostgreSQL, MySQL, BigQuery, MongoDB and Spanner, with prebuilt tools and a framework for building custom, secured database tools.

• MCP servers
• Databases

An open-source, cloud-native vector database that stores objects together with their vectors, combining vector similarity search with keyword filtering, retrieval-augmented generation and reranking in one query interface.

• Databases

A Rust vector index with Python bindings, built on Google Research's TurboQuant quantizer, that fits large embedding corpora in a fraction of the memory float32 storage needs.

• RAG
• Databases

An open-source generative BI engine that gives AI coding agents a governed semantic layer, so natural-language questions become correct SQL and shareable dashboards across more than 20 data sources.

• Databases
• Data engineering

An open-source agentic AI assistant that connects to databases, spreadsheets and knowledge bases, writes SQL and code from natural language questions, and turns the results into charts, dashboards and reports.

• Databases
• Data engineering

A small cross-platform database client that connects to more than 100 databases, including MySQL, PostgreSQL, SQLite, Redis, and MongoDB, with a desktop app, CLI, Docker image, built-in AI assistant, and MCP server.

• Databases

A spreadsheet-style platform, backed by real PostgreSQL, that combines data management, AI-built workflows and app building, self-hostable or used as a hosted cloud service.

• Databases
• Workflow automation

A fast, typo-tolerant open-source search engine, positioned as an alternative to Algolia and Elasticsearch, with support for geosearch and semantic search.

• RAG
• Databases

A free, cross-platform database client and SQL workspace that connects to 40 or more databases and lets a user bring their own AI model to generate, explain, and optimize queries.

• Databases

An open-source vector database and search infrastructure for AI applications, with a small core API and an optional hosted cloud service.

• Databases

An open-source memory platform that turns documents, code, and conversations into a self-hosted knowledge graph so AI agents can search and reuse what they have learned across sessions.

• Agent memory
• Databases

An embeddable, persistent key-value store library optimized for flash and RAM storage, built for high write and read throughput at multi-terabyte scale.

• Databases

A vector similarity search engine and vector database, written in Rust, with a production API for storing, searching and filtering vectors alongside their payload data.

• Databases

Directus wraps an existing SQL database with automatically generated REST and GraphQL APIs and a visual admin Studio, so engineers, non-technical teammates and AI agents can all work with the same live data.

• Backend
• Databases

A browser-based database schema editor and SQL generator for building entity-relationship diagrams, exporting SQL scripts, and generating migrations.

• Design tools
• Databases