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, allowing seamless logging of database requests while optimizing API usage. By utilizing just two lines of code, users gain insights to enhance AI features and productivity. Velvet's intuitive design simplifies on-boarding, making it the go-to solution for optimizing AI workflows.

Velvet offers a flexible pricing model, starting with a free tier for up to 10,000 requests per month. For teams needing more, additional subscription plans are available that deliver enhanced features. Users can benefit from increased capacity as they grow, ensuring Velvet scales with your needs.

Velvet features a user-friendly interface that streamlines navigation, enhancing the overall browsing experience. Its layout focuses on ease of access to key functionalities such as logging, optimization, and data analysis. Users appreciate Velvet's clear navigation and intuitive design, which together empower effective AI feature management.

How Velvet works

Users kickstart their Velvet experience by creating an account and accessing the documentation for setup guidance. They integrate Velvet by setting their baseURL to the Velvet gateway and choosing a database connection. After implementing just two lines of code, users can begin logging requests, optimizing features, and analyzing data for actionable insights, all within an intuitive platform designed for engineers.

Key Features for Velvet

Request Logging

Velvet's request logging feature enables seamless warehousing of every API interaction into a PostgreSQL database. This unique aspect empowers engineers to analyze and fine-tune AI models while gaining transparency into usage and cost metrics. Users can effortlessly track performance and improve their AI applications with Velvet.

Caching Optimization

Velvet's caching optimization allows users to significantly cut costs and enhance performance. By utilizing smart caching and batching techniques, engineers can reduce latency and ensure efficient API usage. This powerful feature improves responsiveness and helps teams maximize their resources effectively, driving better outcomes with Velvet.

Experimentation Framework

Velvet provides an experimentation framework that enables users to run customized tests on datasets. This feature is pivotal for optimizing AI outputs, allowing engineers to experiment with various models and metrics. With Velvet, users can effortlessly conduct valuable experiments to refine their AI models and applications.

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