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 for engineers, designed to optimize and log database requests effortlessly. With its two-line setup, users can easily harness the power of OpenAI and Anthropic APIs to monitor usage, generate datasets, and run evaluations, ensuring data-driven decision-making and improved AI features.

Velvet offers a free plan allowing users to get started easily, with additional pricing tiers providing more robust features. Users can scale their usage based on needs, earning benefits such as larger request allowances and advanced functionalities, making Velvet an economical choice for engineers focused on AI integration.

Velvet's user interface is designed for intuitive navigation, ensuring a seamless experience. Users can easily access essential features like logging requests and running experiments. The layouts highlight useful insights while maintaining clarity, making it user-friendly for engineers working with AI technologies in development and optimization.

How Velvet works

Users can get started with Velvet by creating an account and setting their base URL. Once connected, they simply need to add two lines of code to log their requests to the PostgreSQL database. From there, they can analyze usage, optimize features, and conduct experiments effortlessly, all while benefiting from built-in caching and batch processing for efficiency.

Key Features for Velvet

Logging Database Requests

Velvet's standout feature is its ability to effortlessly log database requests. By integrating just two lines of code, engineers can monitor all API interactions, gaining essential insights and enabling data-driven optimization, making Velvet a crucial tool for enhancing AI functionalities.

Optimized Caching

Another key feature of Velvet is its optimized caching. This system reduces costs and enhances speed by ensuring that repeated requests are handled efficiently, allowing users to minimize latency and maximize performance, a vital advantage for engineers working with AI models and large datasets.

Data Analysis and Experimentation

Velvet enables thorough data analysis and experimentation, allowing engineers to observe queries and run evaluations effectively. By storing logs as customizable JSON objects, users can easily assess model performance and fine-tune their AI features for improved results, distinguishing Velvet in the AI engineering space.

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