Velvet

Velvet is an AI-first data pipeline for warehousing and optimizing LLM requests and data.
August 14, 2024
Web App, Other
Velvet Website

About Velvet

Velvet is a powerful AI gateway tailored for engineers, simplifying request logging, feature optimization, and systematic experimentation. It allows users to warehouse OpenAI and Anthropic API requests in PostgreSQL databases, providing in-depth insights and analytics. Velvet ensures data transparency, scalability, and efficiency in AI workflows.

Velvet offers a free tier allowing up to 10,000 requests a month, perfect for testing. Additional payment plans enable enhanced features, caching, and larger request capacities, delivering significant value for engineering teams. Upgrading ensures optimal performance and lower operational costs, making Velvet an attractive solution for growing needs.

Velvet features a clean, intuitive interface that fosters a seamless user experience. Its user-friendly design prioritizes easy navigation, allowing engineers to log requests, optimize AI processes, and conduct experiments effortlessly. The layout is optimized for efficiency, ensuring users can focus on leveraging AI tools without distractions.

How Velvet works

To get started with Velvet, users first create an account and set their base URL to the Velvet gateway. By adding just two lines of code, they can start logging API requests to their PostgreSQL database immediately. Velvet then allows for real-time data analysis, usage monitoring, and optimization experiments, empowering users to fine-tune their AI models efficiently while maintaining full data ownership and compliance.

Key Features for Velvet

Flexible Data Logging

Velvet enables flexible data logging by warehousing every request to your PostgreSQL database. This unique feature provides a comprehensive overview of AI operations, ensuring engineers can analyze, evaluate, and fine-tune their models effectively, leading to enhanced performance and cost efficiency.

Intelligent Caching

The intelligent caching feature of Velvet reduces operational costs and latency significantly. By optimizing API calls and ensuring efficient data retrieval, this key offering allows engineers to focus on development without worrying about excessive expenses, making Velvet an essential tool for AI-driven projects.

Experiment Framework

Velvet's experiment framework empowers users to run comprehensive tests on their AI models and datasets. This feature enables teams to iterate quickly, optimizing outputs and configurations, ensuring they develop robust AI solutions tailored to their specific needs while monitoring performance thoroughly.

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