vector-search-engine

🔮 Build multimodal AI services via cloud native technologies · Neural Search · Generative AI · Cloud Native

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

Weaviate is an open source vector search engine 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 for data scientists and machine learning engineers working with HuggingFace

Weaviate vector database – examples

Main NNext Application Code

Real time vector search engine

Python client for Qdrant vector search engine

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

Awesome Weaviate

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

Framework for benchmarking vector search engines

Website for the Weaviate vector database

Rust client for Qdrant vector search engine

gRPC server for hnswlib

Aquila Network Neural Search Engine technical specifications

JavaScript client library to access Aquila Network Neural Search Engine.

Collection of Qdrant benchmarks