

Velvet
Overview :
Velvet AI Gateway is an AI request warehouse solution designed for engineers, enabling users to store requests from OpenAI and Anthropic in a PostgreSQL database. It optimizes AI functionality through log analysis, evaluation, and dataset generation. Key benefits of the product include user-friendliness, cost optimization, data transparency, and support for custom queries. The background of Velvet AI Gateway is aimed at helping innovative teams manage and leverage AI technologies more effectively, enhancing product competitiveness by reducing costs and improving efficiency.
Target Users :
The target audience of Velvet AI Gateway consists of engineers and innovative teams utilizing OpenAI and Anthropic APIs. They require a tool that efficiently manages and analyzes AI requests to optimize costs, enhance performance, and generate custom datasets for fine-tuning.
Use Cases
Chirag Mahapatra, CTO of Blaze AI, uses Velvet for logging and caching, storing training sets to fine-tune his models.
Mehdi Djabri, CEO of Revo.pm, leverages Velvet as a data source for product copilot interactions with LLMs, conducting assessments, cost calculations, and problem-solving.
Philip Thomas, CTO of Find AI, employs Velvet to monitor AI functionality in production, significantly reducing costs through caching.
Features
Request warehouse: Record all AI requests in the database, including custom metadata.
Usage and cost analysis: Store data in JSON object format to allow granular log queries.
Request caching: Return the same results in milliseconds, reducing costs and latency.
Batch jobs: Unlock additional data to query each file in a batch.
Dataset generation: Select and export datasets for batch or fine-tuning workflows.
AI SQL editor: Utilize an editor that automates SQL on large datasets.
How to Use
1. Create an account at usevelvet.com/register.
2. Review the documentation at docs.usevelvet.com.
3. Set the baseURL to the Velvet gateway.
4. Use Velvet's database or connect your own database.
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