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​.

🌌 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!

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

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

Real time vector search engine

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

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

(distributed) vector database

Awesome Weaviate

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

alvd = A Lightweight Vald. A lightweight distributed vector search engine works without K8s.

S3 stands for Swift Semantic Search - using USearch & UForm to builds scalable multimodal Retrieval-Augmented pipelines on Apple devices 🍏