A vector search capability integrated into MongoDB Atlas that enables storing and searching vectors alongside operational data.
An open-source PostgreSQL extension that enables vector similarity search with support for multiple distance metrics and vector types.
Open-source vector database designed for AI applications, enabling efficient storage and retrieval of embeddings for machine learning models.
Open-source vector database and search engine written in Rust, providing fast and scalable vector similarity search with a convenient API.
AI-native vector database designed for developers, enabling RAG, semantic search, and AI agents with scalable and production-ready features.
Open-source vector database for GenAI applications, offering high-speed similarity search and scalability up to billions of vectors.
A production-ready vector database for AI applications that enables fast similarity search across billions of items with millisecond latency.
A comprehensive Postgres development platform offering database, auth, APIs, functions, storage, and vector embeddings for building scalable applications.
A web-based server management platform that provides an intuitive interface to manage websites, containers, databases, and LLMs on Linux servers.
An open-source AI-powered search engine offering lightning-fast full-text, semantic, and hybrid search capabilities with sub-50ms response times.
AI-powered no-code database platform that enables teams to build applications, automate workflows, and integrate AI capabilities with a spreadsheet interface.
An open-source workspace that combines document editing, whiteboarding, and database capabilities with AI integration.
