sqliteai-vector 1.0.0

Python prebuilt binaries for SQLite Vector extension for all supported platforms and architectures.

SQLite Vector Python package

This package provides the sqlite-vector extension prebuilt binaries for multiple platforms and architectures.

SQLite Vector

SQLite Vector is a cross-platform, ultra-efficient SQLite extension that brings vector search capabilities to your embedded database. It works seamlessly on iOS, Android, Windows, Linux, and macOS, using just 30MB of memory by default. With support for Float32, Float16, BFloat16, Int8, and UInt8, and highly optimized distance functions, it's the ideal solution for Edge AI applications.

More details on the official repository sqliteai/sqlite-vector.

Documentation

For detailed information on all available functions, their parameters, and examples, refer to the comprehensive API Reference.

Supported Platforms and Architectures

Platform	Arch	Subpackage name	Binary name
Linux (CPU)	x86_64/arm64	sqlite_vector.binaries	vector.so
Windows (CPU)	x86_64	sqlite_vector.binaries	vector.dll
macOS (CPU)	x86_64/arm64	sqlite_vector.binaries	vector.dylib

Usage

Note: Some SQLite installations on certain operating systems may have extension loading disabled by default.
If you encounter issues loading the extension, refer to the sqlite-extensions-guide for platform-specific instructions on enabling and using SQLite extensions.

import importlib.resources
import sqlite3

# Connect to your SQLite database
conn = sqlite3.connect("example.db")

# Load the sqlite-vector extension
# pip will install the correct binary package for your platform and architecture
ext_path = importlib.resources.files("sqlite_vector.binaries") / "vector"

conn.enable_load_extension(True)
conn.load_extension(str(ext_path))
conn.enable_load_extension(False)


# Now you can use sqlite-vector features in your SQL queries
print(conn.execute("SELECT vector_version();").fetchone())