“vector search and databases”

Elasticsearch as a vector database, combining vector search with hybrid lexical search, filters and reranking.

Vector and hybrid search built into MongoDB, running on the same operational data as the database.

Search database for vector and full-text queries, built on object storage and available as a Python client.

Serverless vector database with dense, sparse and hybrid indexes for semantic and keyword search.

Database for AI with a deep-learning storage format for embeddings, media and datasets, plus vector search.

Globally distributed vector database for building AI applications on Cloudflare Workers.