vector-search-engine

🔮 Build multimodal AI services via cloud native technologies

Qdrant - Vector Database for the next generation of AI applications. Also available in the cloud https://cloud.qdrant.io/

Weaviate is an open source vector database that stores both objects and vectors, allowing for combining vector search with structured filtering with the fault-tolerance and scalability of a cloud-native database, all accessible through GraphQL, REST, and various language clients.

Vald. A Highly Scalable Distributed Vector Search Engine

Collections of vector search related libraries, service and research papers

NucliaDB, The vector database optimized for documents and video search

Python client for Qdrant vector search engine

Weaviate vector database – examples

Real time vector search engine

Main NNext Application Code

Framework for benchmarking vector search engines

(distributed) vector database

Rust client for Qdrant vector search engine

Awesome Weaviate

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

Everyting you need to know about Aquila Network Neural Search Ecosystem. Official repositories, client libraries, ecosystem projects, boilerplate, tutorials, learning and more..

Website for the Weaviate vector database

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

Ruby wrapper for the Qdrant vector search database API