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    1. Home
    2. Embedded Vector Databases
    3. tinyvector

    tinyvector

    A tiny embedding database in pure Rust, implemented as a lightweight Axum server for fast vector search on small to medium datasets. It stores all indexes in memory, enabling vertical scaling to over 100 million vectors with comparable speed and slightly better accuracy than advanced vector databases. Open-source under the MIT license, ideal for simple setups like document chat or website search.

    Features

    • Extremely lightweight: Implemented as an Axum server with around 600 lines of code, easy to customize.
    • High performance: Comparable speed to advanced vector databases on small to medium datasets, with slightly better accuracy.
    • Vertical scaling: All indexes stored in memory, scales to 100 million+ vector dimensions.
    • Open-source: MIT licensed.

    Upcoming Features

    • Powerful queries with metadata filtering without slowing search.
    • Integrated embedding models (SBert, Hugging Face, OpenAI, Cohere).
    • TypeScript/Python client libraries via OpenAPI schema.

    Getting Started

    Docker

    docker run -p 8000:8000 ghcr.io/m1guelpf/tinyvector:edge

    Bind volume to /tinyvector/storage for persistence in Docker Compose/Kubernetes.

    From Source

    Install via cargo install tinyvector or build from repo with cargo build --release.

    Use Cases

    • Chat with documents using embeddings.
    • Website or store search (under 1M items).

    License

    MIT License.

    Surveys

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    Information

    Websitegithub.com
    PublishedApr 7, 2026

    Categories

    1 Item
    Embedded Vector Databases

    Tags

    6 Items
    #open-source#rust#lightweight#embedded#no-server#in-memory

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