Qdrant - High-performance, massive-scale Vector Database 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​.

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

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

🌌 Fast, dependency-free, full-text and vector search engine with typo tolerance, filters, facets, stemming, and more. Works with any JavaScript runtime, browser, server, service!

Website for the Weaviate vector database

Python client for Qdrant vector search engine

Collections of vector search related libraries, service and research papers

Vald. A Highly Scalable Distributed Vector Search Engine

Weaviate vector database – examples

Framework for benchmarking vector search engines

NucliaDB, The AI Search database for RAG

Real time vector search engine

Rust client for Qdrant vector search engine

Use the universal VDF format for vector datasets to easily export and import data from all vector databases

Cottontail DB is a column store vector database aimed at multimedia retrieval. It allows for classical boolean as well as vector-space retrieval (nearest neighbour search) used in similarity search using a unified data and query model.

Ruby wrapper for the Weaviate vector search database API

Awesome Weaviate

(distributed) vector database

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