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    3. Valkey

    Valkey

    Valkey is an open-source in-memory key-value data store that supports vector search operations, making it useful for AI and machine learning vector database workloads. It is also a specialized open-source vector database designed for efficient management and retrieval of high-dimensional vector data, offering advanced APIs and optimized storage for AI workloads.

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    Information

    Websitevalkey.io
    PublishedJun 7, 2025

    Categories

    1 Item
    Open Sources

    Tags

    4 Items
    #open-source#vector-search#in-memory#ai

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    MeiliSearch

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    Deep Lake

    Deep Lake is a vector database designed as a data lake for AI, capable of storing and managing vector embeddings, text, images, and videos. It utilizes a tensor format for efficient querying and integration with AI algorithms, making it suitable for similarity search and machine learning workflows. It is open-source and tailored for handling unstructured and multimodal data, with seamless integration with frameworks like PyTorch and TensorFlow.

    vearch

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    Valkey

    Website: https://valkey.io/

    Valkey is an open-source (BSD-licensed) high-performance in-memory key-value datastore designed for a variety of workloads, including as a primary database, cache, message queue, and vector search engine for AI and machine learning applications. It is supported by the Linux Foundation and is intended to remain open-source.

    Features

    • In-Memory Key-Value Store: Fast, reliable, and suitable for high-performance workloads.
    • Vector Search Support: Native support for vector search operations, making it suitable for AI and machine learning vector database use cases.
    • Rich Data Types: Supports strings, numbers, hashes, lists, sets, sorted sets, bitmaps, hyperloglogs, and more.
    • Advanced APIs: Offers an expressive set of commands for data operations.
    • Standalone and Cluster Modes: Can run as a standalone daemon or in a cluster configuration for scalability and high availability.
    • Replication and High Availability: Built-in support for replication to ensure data durability and high availability.
    • Extensibility: Supports native scripting (Lua) and module plugins for creating new commands, data types, and extending functionality.
    • Official Client Libraries: Available for various languages including Python, Java, Go, Node.js, and PHP.
    • Optimized Storage: Designed for efficient management and retrieval of high-dimensional vector data.
    • Open Source: BSD-licensed and backed by the Linux Foundation.
    • Docker and Binary Artifacts: Official Docker images and binary releases for multiple architectures and distributions.
    • Documentation and API Reference: Comprehensive documentation and full command reference available.

    Pricing

    Valkey is open source and free to use under the BSD license.

    Category

    • Open Source

    Tags

    • open-source
    • vector-search
    • in-memory
    • ai