Tool dossier

Refinery

The data scientist's open-source choice to scale‚ assess and maintain natural language data. Treat training data like a software artifact.

2 sources 1,467 stars Apache-2.0

Product snapshot

How the interface presents itself

Refinery interface screenshot

Positioning

What this project is really offering

The goal here is to separate raw catalog facts from the sharper product shape users care about before they commit time.

About

Kern AI's Data-centric RAG Guide aims to enhance the reliability and trustworthiness of Generative AI (GenAI) models by effectively modeling and structuring your company's data. This approach minimizes the risk of hallucinations, ensuring that AI-driven answers are accurate and reliable, especially for critical business queries. Kern AI's platform is designed to derisk, enable, and accelerate LLM adoption, making ChatGPT and other LLMs more reliable. Our data-centric methodology ensures ease-of-use, allowing you to build both prototypes and scalable solutions. We prioritize data security, offering multiple LLM options and ensuring your data remains confidential and is not used to train external models.

Highlights

The capabilities most worth remembering

01

Enhanced Data Modeling

02

Trustworthy AI Assistants

03

Customizable Use Cases

04

Insurance Policies Assistant

05

Internal Handbook Assistant

06

Customer Services Assistant

07

Tariff Comparison

08

Portfolio Analytics

09

Financial Portfolio Analyzer

Evidence

What backs up the editorial summary