v0.1.2 - Release

Changelog

All notable changes to SQLVector will be documented in this file.

The format is based on Keep a Changelog,
and this project adheres to Semantic Versioning.

Unreleased

0.1.0 - 2025-09-03

Added

• Initial release of SQLVector
• Core RAG functionality with SQLAlchemy backend support
• DuckDB backend with HNSW indexing support
• SQLite backend with VSS extension support
• Async and synchronous interfaces (SQLRAG and SyncSQLRAG)
• Flexible embedding provider system
• Batch operations for document loading and querying
• Multiple similarity functions (cosine, euclidean, inner product)
• Metadata filtering and complex query support
• Export capabilities to Polars DataFrames (DuckDB) and dictionaries
• Comprehensive test suite
• Example scripts demonstrating various features
• Protocol-based architecture for extensibility

Features

• Document CRUD operations (Create, Read, Update, Delete)
• Vector similarity search with configurable thresholds
• Metadata-based filtering
• Batch processing for improved performance
• Custom embedding provider support
• SQLAlchemy ORM integration
• Context manager support
• Type hints throughout the codebase

Backend Support

• DuckDB: High-performance analytical database with native vector operations
  • HNSW index support for fast similarity search
  • Polars DataFrame integration
  • CSV/Parquet data loading
• SQLite: Lightweight embedded database
  • VSS extension for accelerated vector search
  • Faiss-based indexing
  • Binary embedding storage