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    Managed Vector Databases

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    Qdrant Hybrid Cloud
    Featured

    Industry-first managed vector database deployable in any environment - cloud, on-premise, or edge. Kubernetes-native with complete data sovereignty while maintaining managed service convenience.

    Qdrant Cloud
    Featured

    Managed vector database service with 1GB free forever cluster (no credit card required). Fully managed with multi-cloud support across AWS, GCP, and Azure. This is a commercial managed service.

    Pinecone
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    Pinecone is a fully managed vector database designed for high‑performance semantic search and AI applications. It provides scalable, low-latency storage and retrieval of vector embeddings, allowing developers to build semantic search, recommendation, and RAG (Retrieval-Augmented Generation) systems without managing infrastructure.

    DataRobot Vector Databases
    Featured

    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
    Featured

    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.

    DataStax Astra DB

    Serverless vector database built on Apache Cassandra that empowers developers to build AI applications with real-time data handling. Features 20% higher relevance and 74x faster responses with advanced vector and knowledge graph capabilities.

    Vespa Cloud

    Unified search and AI engine with seamless scaling, intelligent retrieval, and precision ranking. Goes beyond simple vector search with tensor support, multi-phase ranking, and hybrid retrieval blending semantic, textual, and structured signals at scale.

    LanceDB Cloud

    Fully managed serverless vector database service with automatic scaling and infrastructure management. Seamless transition from LanceDB OSS with the same SDK, starting at $16.03/month with $100 free credits.

    BagelDB

    Collaborative vector database platform described as 'GitHub for AI data'. Features distributed storage, HNSW indexing, and supports private, collaborative, and public vector datasets. This is a commercial platform with open collaboration features.

    Neon

    Serverless Postgres with native pgvector support for vector embeddings and similarity search. Features instant provisioning, autoscaling, and scale-to-zero with separated compute and storage. This is a commercial managed service with free tier.

    Nuclia

    AI Search and RAG-as-a-Service platform with semantic search capabilities. Features NucliaDB open-source database. Acquired by Progress in 2025, now part of Progress Agentic RAG. This is a commercial service with OSS core (NucliaDB).

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