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 an innovative AI gateway tailored for engineers, enabling seamless logging, feature optimization, and experimental runs with just two lines of code. By warehousing requests to PostgreSQL, Velvet helps users analyze and evaluate AI performance, providing insights that drive efficiency and improved outcomes.

Velvet offers a free tier allowing up to 10k requests per month, perfect for getting started. Users can explore pricing tiers that unlock enhanced features like advanced caching and detailed analytics. Upgrading offers significant value by enabling scalability and deeper insights into API usage and optimization.

The user interface of Velvet is designed for intuitive navigation, ensuring users can easily access critical features like logging and optimization tools. Its clean layout and user-friendly elements foster a seamless browsing experience, helping engineers focus on their workflows without unnecessary distractions or complications.

How Velvet works

Users begin by creating an account on Velvet, followed by reading the documentation to understand setup. The next step involves setting their base URL to the Velvet gateway, allowing them to use its features effortlessly. By adding just two lines of code, users can log requests, optimize AI models, and run experiments, making Velvet an essential tool for data-driven engineers.

Key Features for Velvet

Customizable Logging System

Velvet’s customizable logging system allows users to warehouse every request to their PostgreSQL database, providing comprehensive insights into API usage. This unique feature not only simplifies data management but also empowers engineers to analyze and fine-tune AI features effectively, enhancing performance and reducing costs.

Intelligent Caching Mechanism

The intelligent caching mechanism offered by Velvet significantly reduces costs and improves latency. By enabling caching for requests, users benefit from faster response times and efficient resource utilization, creating a more responsive environment for experiments and API interactions, thus enhancing productivity and performance.

Experimentation Framework

Velvet's experimentation framework allows users to run controlled tests on selected datasets, optimizing results at scale. This feature is designed for seamless experimentation, enabling engineers to fine-tune models and enhance outputs based on real-time data analysis, thus driving innovation and efficiency.

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