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AlloyDB
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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.

Azure Database for PostgreSQL
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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.

SuperDuperDB

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

PGVector

PostgreSQL supports vector indexing and similarity search via the PGVector extension, allowing relational databases to manage and retrieve vector embeddings efficiently.

Supabase Vector

Supabase Vector extends the Supabase platform by providing vector database functionalities, making it easy to add vector search capabilities to applications with PostgreSQL backend.

Lantern

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

Amazon RDS for PostgreSQL

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.

Aurora PostgreSQL-Compatible

An AWS database service compatible with PostgreSQL, identified as a great choice for vector database needs.

Instaclustr for PostgreSQL

A managed service for PostgreSQL that includes support for pgvector, enabling PostgreSQL to function as a vector database for AI workloads.

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