v0.5.2

Full Changelog: v0.4.2...v0.5.2

v0.2.0

Fastembed Vectorstore 0.2.0 🚀

This release includes support for multiple OS and Architecture and improves performance using multiple threads.

What's Changed

• perf/threading by @sauravniraula in #2

Full Changelog: v0.1.5...v0.2.0

v0.1.5

🚀 Release: v0.1.5 – Initial Public Release

📦 FastEmbed VectorStore
A high-performance, Rust-based in-memory vector store with seamless Python integration via FastEmbed.

🔗 [📄 View on PyPI](https://pypi.org/project/fastembed-vectorstore/0.1.5)
🔗 [📂 Source on GitHub](https://github.com/sauravniraula/fastembed_vectorstore/commits/v0.1.5)

🌟 Highlights

• Rust-based core with blazing-fast performance and minimal memory overhead
• Python bindings via PyO3 for easy integration with your Python applications
• Supports 30+ Embedding Models including BGE, GTE, Nomic, Multilingual E5, and more
• In-memory vector store with JSON-based persistence and restore
• Cosine similarity search with ranked results

🔧 Features

• 🧠 Embedding Model Support: Choose from a wide range of pre-trained models including quantized variants
• 💾 Persistence: Save and load vector stores to/from disk (.json)
• 🔍 Search: Cosine similarity-based nearest neighbor search
• ⚙️ Simple API:

📄 License

Licensed under Apache 2.0
Author: Saurav Niraula (📧 [developmentsaurav@gmail.com](mailto:developmentsaurav@gmail.com))