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.

The DataRobot vector databases feature provides FAISS-based internal vector databases and connections to external vector databases such as Pinecone, Elasticsearch, and Milvus. It supports creating and configuring vector databases, adding internal and external data sources, versioning internal and connected databases, and registering and deploying vector databases within the DataRobot AI platform to power retrieval-augmented generation and other AI use cases.

AlloyDB for PostgreSQL offers managed vector storage and search for AI workloads on Google Cloud, with optimized HNSW indexing. It supports serverless scaling, hybrid vector-relational queries, and integrations with Google Cloud ecosystem and pgvector. Suited for RAG pipelines and enterprise AI requiring ACID compliance, it provides superior performance and management ease versus self-hosted databases like Milvus.

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

A vector database solution provided by Microsoft Azure.

Fully-managed, cloud-native vector search service from Alibaba Cloud based on the Proxima vector engine, offering horizontal scalability and instant vector updates for large-scale AI applications.