The Excellence
Directory Platform Template

faiss-quickeradc is an extension of FAISS that implements the Quicker ADC approach to accelerate product-quantization-based approximate nearest neighbor search using SIMD, improving performance in vector database retrieval.

Open-source AI-native database layer that adds vector search, model integration, and AI workflows on top of existing databases like MongoDB and Postgres.

Neural and hybrid search capability in OpenSearch that combines lexical queries with vector-based neural search using a pipeline of normalization and score combination techniques. It enables semantic (vector) search and hybrid search over indices such as `neural_search_pqa`, suitable for AI and vector database-style retrieval use cases.

A feature for MySQL that integrates vector store capabilities, allowing users to store and process vector embeddings for AI applications.

Lantern is a PostgreSQL extension that enables efficient vector search capabilities, allowing users to perform similarity searches directly within their PostgreSQL databases.

MariaDB Vector is an extension or feature of MariaDB, providing capabilities for handling and querying vector data within the MariaDB ecosystem.

An enhancement to the Neo4j graph database providing vector search capabilities through dedicated indexes.