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    KDB

    KDB is a high-performance vector database supporting billion-scale vector search, with features aimed at enterprises needing large-scale vector storage and retrieval.

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    About this tool

    KDB

    Website: https://kdb.ai/

    Category: Vector Database Engines

    Tags: enterprise, scalable, vector-search, high-performance


    Description

    KDB is a high-performance, scalable vector database designed for enterprise use, supporting billion-scale vector storage and retrieval. It is built to support production-grade AI applications with sub-100ms latency and high reliability.


    Features

    • Hybrid Search: Supports combining semantic (dense) and keyword (sparse) vector searches in a single query for increased search relevance.
    • Metadata Filtering: Allows filtering of vectors using structured metadata to refine search results.
    • Temporal Similarity Search: Enables searching for similar patterns in time series data, supporting anomaly detection and multi-window queries.
    • Multimodal Retrieval Augmented Generation (RAG): Handles unstructured data such as text, video, audio, and images for GenAI use cases.
    • Multi-Index Search: Unifies multiple indexes for multi-layered embeddings, allowing flexible and faster search.
    • On-Disk Indexing: Utilizes purpose-built qHNSW and qFlat indexing methods to reduce costs and memory requirements.
    • Zero Embedding Search: Enables rapid search (up to 17x faster, using 12x less memory than HNSW) for fast-changing temporal data without the need for embeddings.
    • Killer Compression: Provides up to 100x reduction in memory and storage for slow-changing, time-based datasets, and accelerates search by up to 10x.
    • Dynamic Hybrid Search: Combines similarity, exact, and literal search in a single query, with results adapting to content changes.
    • Integration with GenAI Tools: Compatible with LangChain, LlamaIndex, Vector-io, OpenAI, Azure AI, HuggingFace, and Unstructured.io.
    • Production-Grade Performance: Delivers sub-100ms search latency and 99.99% uptime.
    • Scalable: Supports billion-scale vector storage and retrieval for enterprise and large-scale applications.

    Pricing

    • Free tier available: Build production-grade AI apps for free.
    • Detailed paid plans are not specified in the provided content.

    Source

    https://kdb.ai/

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    Information

    Websitekdb.ai
    PublishedMay 13, 2025

    Categories

    1 Item
    Vector Database Engines

    Tags

    4 Items
    #Enterprise#Scalable#Vector Search#High Performance

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