The Excellence
Directory Platform Template

Cloudflare Vectorize is a managed vector database/indexing service integrated with Cloudflare Workers AI. It stores and searches high-dimensional vector embeddings (such as text embeddings) using configurable dimensions and distance metrics like cosine and euclidean, automatically handling index optimization and regeneration when new data is inserted.

Qdrant Cloud is the fully managed, hosted deployment of the Qdrant vector database, providing scalable infrastructure, automation, and operations for production-grade vector search and AI workloads without managing servers.

Qdrant Hybrid Cloud is a deployment option for Qdrant that combines managed services with customer-controlled infrastructure, enabling flexible, secure, and compliant vector database deployments across cloud and private environments.

Weaviate Cloud is the fully managed cloud deployment of the Weaviate vector database, providing a hosted environment for building and operating AI applications with scalable vector search, without managing infrastructure.

DataRobot Vector Database is a managed vector store capability within the DataRobot AI Platform that allows users to create, register, deploy, and update vector databases for AI workloads, including RAG and semantic search. It integrates with NVIDIA NIM embeddings and supports both built-in and bring-your-own embeddings for building production-grade vector search solutions.

A premium vector database capability within the DataRobot Generative AI platform that stores chunked unstructured text and their embeddings for retrieval-augmented generation (RAG). Users can create vector database objects, connect supported data sources from the DataRobot Data Registry, configure embeddings and chunking, and attach these vector databases to LLM blueprints in the playground to ground model responses in proprietary data.

A vector database solution provided by Microsoft Azure.

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.