Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database​.

💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows

🌌 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.

Vald. A Highly Scalable Distributed Vector Search Engine

Collections of vector search related libraries, service and research papers

Python client for Qdrant vector search engine

NucliaDB, The AI Search database for RAG

Virtual Assistant - GPT Smart Search Engine - Bot Framework + Azure OpenAI + Azure AI Search + Azure SQL + Bing API + Azure Document Intelligence + LangChain + CosmosDB

Weaviate vector database – examples

Framework for benchmarking vector search engines

Rust client for Qdrant vector search engine

Comprehensive Vector Data Tooling. The universal interface for all vector database, datasets and RAG platforms. Easily export, import, backup, re-embed (using any model) or access your vector data from any vector databases or repository.

A curated list of awesome works related to high dimensional structure/vector search & database

🔍 DiscovAI-Search: An AI-powered search engine for AI tools and custom data. Built with Next.js, OpenAI, Supabase, and more. Features vector-based search, Redis caching, and LLM-powered responses.

Real time vector search engine

(distributed) vector database

Real-time on-device text-to-image and image-to-image Semantic Search with video stream capture using USearch & UForm AI Swift SDKs for Apple devices 🍏

VQLite - Simple and Lightweight Vector Search Engine based on Google ScaNN

Awesome Weaviate