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 AI gateway designed for engineers to enhance their development process. It allows seamless logging of requests to a PostgreSQL database, enabling advanced analysis and optimization of AI features. With powerful caching and batch processing capabilities, Velvet simplifies experimentation, making it an essential tool for engineering teams.

Velvet offers a free tier for up to 10,000 requests monthly, allowing engineers to explore its capabilities. For teams needing more functionality, various subscription plans are available, offering additional features and benefits. Unlock greater data insights and enhanced logging capabilities by upgrading your Velvet experience.

Velvet's user interface is designed for ease of navigation, ensuring engineers can quickly access the features they need. The layout promotes an intuitive experience, allowing users to focus on logging data and optimizing AI processes effortlessly. Velvet prioritizes user-friendliness in design for effective interaction and insights.

How Velvet works

To get started with Velvet, users create an account and set their base URL to the Velvet gateway. After connecting their database, they only need to add two lines of code to begin logging AI requests. Users can then analyze usage, optimize performance, and run experiments using the comprehensive dashboards provided by Velvet.

Key Features for Velvet

Request Logging

Velvet’s request logging feature allows engineers to store every interaction with OpenAI and Anthropic APIs in a PostgreSQL database. This essential capability enables detailed analysis of AI model usage, helping teams optimize their systems, reduce costs, and improve overall performance with valuable insights.

Caching & Batching

Velvet offers smart caching and batching features that significantly reduce costs and latency for users. By optimizing API calls, engineers can streamline their data processes, ensuring faster access and enhanced performance while managing their AI projects effectively, all from within the Velvet platform.

Experiment Framework

The experiment framework in Velvet empowers engineers to run tests on various datasets to optimize their AI models. This feature allows for flexible experimentation with different settings and metrics, facilitating ongoing improvements in model performance and ensuring a robust development process tailored to unique project needs.

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