Vector Databases

Meilisearch helps you shape a delightful search experience in a snap, offering features that work out-of-the-box to speed up your workflow.

PostgreSQL vector database extension for building AI applications.

Embeddings databases are a union of vector indexes (sparse and dense), graph networks and relational databases. This enables vector search with SQL, topic modeling, retrieval augmented generation and more.

LanceDB is an open-source database for vector-search built with persistent storage, which greatly simplifies retrieval, filtering and management of embeddings.

A complete search engine and RAG pipeline in your browser, server or edge network with support for full-text, vector, and hybrid search in less than 2kb.

Fully-managed, scalable vector database offering fast, relevant search with developer-friendly APIs, transparent pricing, metadata filtering, and no infrastructure hassle.

Qdrant (read: quadrant) is a vector similarity search engine and vector database. It provides a production-ready service with a convenient API to store, search, and manage points—vectors with an additional payload Qdrant is tailored to extended filtering support.

Open-source search and retrieval database for AI applications.

Context Data is an enterprise data infrastructure built to accelerate the development of data pipelines for Generative AI applications. The platform automates the process of setting up internal data processing and transformation flows using an easy-to-use connectivity framework...