Sqlite-Vector

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SQLite-Vector is a cross-platform SQLite extension that brings vector search capabilities to your embedded database. It offers ultra-efficient, offline-ready vector search without preindexing.

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At a glance

Pricing

Open Source · Custom

Free tier

API

Yes

Skill level

Technical

About

What is sqlite-vector?

SQLite-Vector is a cross-platform, ultra-efficient SQLite extension designed to integrate vector search directly into embedded databases. It operates seamlessly across iOS, Android, Windows, Linux, and macOS, utilizing minimal memory (defaulting to just 30MB). This tool eliminates the need for complex preindexing, allowing for immediate vector search on existing data stored as BLOBs in ordinary SQLite tables. It supports various vector types including Float32, Float16, BFloat16, Int8, UInt8, and 1Bit, alongside highly optimized distance functions like L2, Cosine, and Dot Product. SQLite-Vector is ideal for Edge AI applications, enabling offline, privacy-preserving AI workloads with real-time performance directly on devices.

Best used for

Ideal for developers and data scientists who need to integrate fast, efficient vector search into embedded applications, especially for edge AI. It's particularly valuable for enabling offline semantic search, image retrieval, and anomaly detection directly on mobile or IoT devices without cloud dependencies.

Common actions

implement vector search

optimize database queries

enable edge AI

manage vector embeddings

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Capabilities

Key features

No virtual tables needed
Optimized C implementation
Low memory footprint
Zero preindexing required
Works offline
Cross-platform compatibility
Multiple vector types

Target Audience

developerdata scientist

Integrations

Not yet documented

Pricing & Plans

Open Source · Custom

Free

FAQs

What are the licensing terms for SQLite-Vector?

SQLite-Vector is free for use in open-source projects under an OSI-approved license. For all other non-production uses, it falls under the Elastic License 2.0. Production or managed service use requires a commercial license from SQLite Cloud, Inc.

Does SQLite-Vector require preindexing of vectors?

No, SQLite-Vector does not require any preindexing. Unlike other vector extensions, it works directly with your existing data, allowing you to perform fast approximate or exact vector searches immediately after adding or modifying vectors.

What vector types and distance metrics does SQLite-Vector support?

SQLite-Vector supports various vector types including Float32, Float16, BFloat16, Int8, UInt8, and 1Bit. It offers optimized distance functions such as L2 (Euclidean), Squared L2, L1 (Manhattan), Cosine, Dot Product, and Hamming Distance (for 1Bit vectors).

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AI Agents & Automation › AI Frameworks & Infra AI Agents & Automation › RAG & Document AI

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