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    YugabyteDB with pgvector
    Featured

    PostgreSQL-compatible distributed database with pgvector support and USearch integration, proven to handle billions of vectors with 96.56% recall and sub-second query latency.

    Deep Lake 4.0
    Featured

    AI data lake with revolutionary index-on-the-lake technology enabling sub-second queries from S3. Features 10x cost efficiency vs in-memory DBs and 2x faster than alternatives. This is a commercial platform with OSS components.

    Vespa
    Featured

    Open-source AI search platform combining vector search, keyword retrieval, structured filtering, and ML ranking. Powers applications at Spotify, Yahoo, and Wix with sub-100ms response times. This is an OSS platform under Apache 2.0 with managed cloud option.

    Qdrant Vector Database
    Featured

    Qdrant is an open‑source vector database designed for high‑performance similarity search and AI applications such as RAG, recommendation systems, advanced semantic search, anomaly detection, and AI agents. It provides scalable storage and retrieval of vector embeddings with features like filtering, hybrid search, and production‑grade APIs for integrating with machine learning workloads.

    Instaclustr
    Featured

    Instaclustr offers comprehensive managed services for vector databases, handling deployment, configuration, ongoing maintenance, tuning, optimization, scalability, security, and data protection. This allows organizations to offload the complexities of managing their vector database infrastructure and focus on their core business objectives.

    Qwak
    Featured

    A platform designed to simplify the building, management, and deployment of Large Language Model (LLM) applications, enabling rapid operationalization of context-aware LLMs and offering integration with its Vector Store.

    Data Cloud Vector Database
    Featured

    Built into the Salesforce platform, Data Cloud Vector Database ingests various large datasets from customer interactions, classifies and organizes unstructured data, and merges it with structured data to enrich customer profiles and store as metadata in Data Cloud. It enhances generative AI by providing more relevant, accurate, and up-to-date responses through improved data retrieval and semantic search capabilities.

    vector engine for OpenSearch Serverless
    Featured

    An on-demand serverless configuration for OpenSearch Service that simplifies the operational complexities of managing OpenSearch domains, integrated with Knowledge Bases for Amazon Bedrock to support generative AI applications.

    Jina VectorDB

    A Pythonic vector database offering comprehensive CRUD operations with robust scalability through sharding and replication. Built on DocArray for vector search and Jina for efficient index serving, deployable from local to cloud environments.

    ObjectBox Vector

    On-device vector database with out-of-the-box data sync, designed for resource-efficiency on mobile, IoT, and embedded devices, enabling offline-first AI applications without internet dependency.

    Qdrant Edge

    Lightweight embedded vector search engine designed for real-time vector search on edge devices like robots, kiosks, and mobile phones with limited computational resources and offline capabilities.

    Zvec

    Lightweight embedded vector database for RAG systems useful in edge environments, running directly on devices with local vector search and no network latency or cloud dependencies.

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    All product names, logos, and brands are the property of their respective owners. All company, product, and service names used in this repository, related repositories, and associated websites are for identification purposes only. The use of these names, logos, and brands does not imply endorsement, affiliation, or sponsorship. This directory may include content generated by artificial intelligence.
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