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Google Cloud's fully managed, PostgreSQL-compatible database service that offers vector capabilities, leveraging the power of PostgreSQL and pgvector for AI applications.
Microsoft Azure's managed service for PostgreSQL, which supports the pgvector extension, enabling robust vector database capabilities in the cloud for AI and machine learning workloads.
A managed relational database service from AWS that can host PostgreSQL, including specific community versions, and is a suitable choice for deploying the pgvector extension for vector storage.
An AWS database service compatible with PostgreSQL, identified as a great choice for vector database needs.
A managed service for PostgreSQL that includes support for pgvector, enabling PostgreSQL to function as a vector database for AI workloads.
Lantern is a PostgreSQL extension that enables efficient vector search capabilities, allowing users to perform similarity searches directly within their PostgreSQL databases.
PostgreSQL supports vector indexing and similarity search via the PGVector extension, allowing relational databases to manage and retrieve vector embeddings efficiently.
Supabase Vector extends the Supabase platform by providing vector database functionalities, making it easy to add vector search capabilities to applications with PostgreSQL backend.