TurboPuffer

TurboPuffer is a fast, high-performance Python client for vector search, embedding storage, and similarity-based retrieval. It provides a simple API for indexing, filtering, and querying embedding data, making it ideal for AI, machine learning, and semantic search applications.

Features of TurboPuffer:

• Fast Python client for vector search and similarity queries.
• Efficient embedding indexing and retrieval.
• Supports high-speed filtering and batch operations.
• Ideal for AI, ML, recommendation engines, and semantic search.
• Simple and flexible API for easy integration into Python applications.
• Lightweight and performance-focused, suitable for production workloads.

TurboPuffer Usage Instructions:

$ sudo su
$ cd /opt/turbopuffer-python-1.9.0
$ source turbopuffer-venv/bin/activate
$ python -c "import turbopuffer; print(turbopuffer.__version__)"
$ Get started with Turbopuffer: a fast Python client for vector search and similarity queries.
    

Disclaimer: TurboPuffer is an open-source project maintained by the Turbopuffer community. This document and the software described herein are not affiliated with, endorsed by, or sponsored by any commercial entity. Users are advised to review and comply with any applicable licensing terms while using TurboPuffer.