Tags: #vector-search

An open lakehouse format for multimodal AI, offering high-performance random access, vector indexing, and data versioning.

A high-performance, massive-scale vector database and search engine designed for next-generation AI applications.

RediSearch is a powerful Redis module that transforms Redis into a robust search and query engine, offering secondary indexing, full-text search, and vector similarity capabilities.

An AI-native database designed for LLM applications, offering incredibly fast hybrid search across dense vector, sparse vector, tensor, and full-text data.

A unified, open-source enterprise data warehouse built in Rust, offering analytics, vector search, and full-text search, with agent-ready capabilities for AI workloads.

A high-performance, continuously available, and transparently scalable distributed relational database supporting transactional, analytical, and AI workloads with MySQL compatibility.

A lightweight, versatile JavaScript search engine supporting full-text, vector, and hybrid search, deployable across browser, server, and edge environments, with RAG capabilities.

An all-in-one API platform for building intelligent search, recommendations, and RAG applications with advanced semantic capabilities.

A comprehensive AI-native toolset for accurate document search and storage, designed to integrate complex context from visually rich and multimodal data into AI applications.

A high-performance PostgreSQL extension written in Rust, enabling scalable and low-latency vector similarity search directly within your existing database.

A fast, typo-tolerant, open-source search engine designed to build delightful search experiences, offering an easier-to-use alternative to commercial solutions like Algolia and ElasticSearch.

A fast, open-source, and cost-efficient search database designed as a powerful alternative and drop-in replacement for Elasticsearch.