Vector Search Engine for the next generation of AI applications 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 for extended filtering support, making it useful for all sorts of neural-network or semantic ...

Weaviate is an open-source, cloud-native vector database that stores both objects and vectors, enabling semantic search at scale. It combines vector similarity search with keyword filtering, retrieval-augmented generation (RAG), and reranking in a single query interface. Common use cases include RAG systems, semantic and image search, recommendation engines, chatbots, and content ...

Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search - milvus-io/milvus

Zvec is an open-source, in-process vector database — lightweight, lightning-fast, and designed to embed directly into applications. Battle-tested within Alibaba Group, it delivers production-grade, low-latency and scalable similarity search with minimal setup.

Open-source vector similarity search for Postgres. Contribute to pgvector/pgvector development by creating an account on GitHub.

This repository provides production-ready Docker configurations, example scripts, and comprehensive test suites for deploying the top 5 open source vector databases as containerized applications.

The open source vector database designed for AI applications - The Milvus Project

awesome-vector-database A curated list of awesome vector databases for storing, managing, and searching high-dimensional data. This list includes open-source and commercial solutions, as well as databases that support different types of data and machine learning models.

Search infrastructure for AI. Contribute to chroma-core/chroma development by creating an account on GitHub.

Products: Open Source & Local: 100% open source, runs locally or in your cloud. No vendor lock-in. Cloud and Enterprise: Production-scale vector search with no servers to manage. Complete data sovereignty and security.