Sqlite-Vec

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sqlite-vec is a vector search SQLite extension that enables storing and querying float, int8, and binary vectors in virtual tables. It is written in pure C, has no dependencies, and runs anywhere SQLite runs.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is sqlite-vec?

sqlite-vec is an extremely small, yet powerful, vector search SQLite extension designed for broad compatibility. It allows users to store and query various vector types, including float, int8, and binary, within vec0 virtual tables. Developed in pure C with no external dependencies, sqlite-vec boasts exceptional portability, running seamlessly across diverse environments such as Linux, MacOS, Windows, in-browser with WASM, and on Raspberry Pis. It supports storing non-vector data in metadata, auxiliary, or partition key columns, making it a versatile solution for integrating vector search capabilities directly into SQLite databases.

Best used for

Ideal for developers and data scientists who need to embed vector search capabilities directly into their applications, manage vector data efficiently within SQLite, and perform fast K-Nearest Neighbor (KNN) queries. Especially valuable for building lightweight, portable applications requiring semantic search or similarity comparisons without external vector databases.

Common actions

add vector search

manage vector data

perform KNN queries

extend SQLite functionality

face swappinggithub copilot"AI Agents"automated workflowopen-sourcedeepfakeworkflowscollaborationlow-code/no-code

Capabilities

Key features

Vector search SQLite extension
Store float, int8, binary vectors
Pure C, no dependencies
Runs anywhere SQLite runs
Supports metadata columns
KNN style queries

Target Audience

developerdata scientist

Integrations

pythonnode.jsrubygorustdatasetterqlitesqlite-utils

Pricing & Plans

Open Source

Free

FAQs

What types of vectors can sqlite-vec store?

sqlite-vec can store float, int8, and binary vectors within its vec0 virtual tables. This flexibility allows for various types of embedding data to be managed directly within your SQLite database, supporting diverse application needs.

Does sqlite-vec have any external dependencies?

No, sqlite-vec is written in pure C and has no external dependencies. This design choice ensures maximum portability and ease of integration, allowing it to run anywhere a standard SQLite database can operate, including embedded systems and web environments.

How can I use sqlite-vec with my preferred programming language?

sqlite-vec offers bindings and integrations for several popular programming languages and tools, including Python, Node.js, Ruby, Go, Rust, Datasette, rqlite, and sqlite-utils. This broad support makes it accessible for developers working in various ecosystems.

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AI Agents & Automation › AI Frameworks & Infra Data & Analytics › Data Pipelines & Integration

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