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, allowing seamless logging of requests to databases, optimization of features, and execution of experiments. With its unique two-line code integration, users can efficiently analyze model usage and fine-tune AI features, solving critical data management problems for engineering teams.

Velvet offers a free tier for up to 10,000 requests per month with straightforward onboarding. Users can create an account to access various pricing options, ensuring scalability and value for engineering teams. Higher tiers include additional features for enhanced performance and optimization of AI capabilities.

The user interface of Velvet is intuitively designed to enhance the browsing experience. With a clean layout and user-friendly features, navigating through features like logging and optimizing AI requests is seamless. Velvet’s design prioritizes user experience, ensuring quick access to crucial tools and analytics.

How Velvet works

To use Velvet, first, create an account and set your base URL to the Velvet gateway. Next, implement the two-line code into your application for logging requests to your PostgreSQL database. Users can analyze usage through logs, optimize features using caching, and experiment with specific datasets to enhance their AI models efficiently.

Key Features for Velvet

Logging Database Requests

Velvet's unique logging feature allows users to store every request made to their PostgreSQL database. This capability enables engineers to analyze and evaluate usage, ultimately fine-tuning AI features. With Velvet, users gain deep insights into their AI model performance and overall operational efficiency.

Optimizing AI Features

Velvet prioritizes cost-efficient AI operations through its powerful optimization feature. By implementing caching and batching, users can significantly reduce costs and latency, streamlining their processes. This unique advantage empowers engineering teams to maximize AI capabilities without straining their resources or budgets.

Experimentation Framework

Velvet’s experimentation framework allows users to run tests on various datasets to optimize outputs efficiently. This feature is crucial for fine-tuning and evaluating different AI models, providing engineers with the tools necessary to improve their AI offerings continually while ensuring data-driven insights in the process.

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