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 simplifies AI development for engineers by offering an intuitive platform to log requests and optimize features. With its unique ability to warehouse every API request to PostgreSQL, users can analyze usage, reduce costs, and run experiments effortlessly. Unlock the potential of your AI projects with Velvet.

Velvet offers a free tier that allows up to 10k requests per month. As users grow, they can explore premium plans with enhanced features and support. The cost-effective structure encourages engineers to optimize operations and fully leverage Velvet's advanced capabilities as their needs evolve.

Velvet boasts a user-friendly interface that streamlines the logging and optimization process. Its layout ensures seamless navigation through features like usage analysis and caching tools. This intuitive design allows users to easily experiment with API requests while gaining insights into performance metrics and cost efficiency.

How Velvet works

Users begin their journey with Velvet by creating an account and accessing comprehensive documentation. After setting their base URL to the Velvet gateway, they can connect their database. With just 2 lines of code, they can start logging every API request, analyze usage patterns, and optimize their AI features effortlessly, gaining insights to enhance their engineering workflows.

Key Features for Velvet

Logging API Requests

Velvet enables engineers to log API requests seamlessly, providing valuable insights into usage trends. By warehousing data in PostgreSQL, users can analyze requests and fine-tune their AI features for optimal performance. This robust logging capability makes Velvet indispensable for data-driven development.

Intelligent Caching

Velvet enhances performance with its intelligent caching feature, reducing latency and operational costs. By utilizing advanced caching mechanisms, users can avoid unnecessary API calls and streamline their workflows. This efficiency not only optimizes resource usage but also supports faster response times for applications.

Customizable Experiment Framework

The customizable experiment framework in Velvet empowers engineers to run experiments on various datasets. Users can test different AI models, settings, and metrics to refine their outputs. This ability to experiment effectively allows for innovation and optimization in AI-driven projects, enhancing overall productivity.

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