Development tool for GenAI adoption

Developed by GFT Spain
07 October 2024
The Retrieval-Augmented Generation (RAG) Assistant is designed to reduce both the time to market and the overall cost of projects. It provides developers with a unified platform that covers quick prototyping, evaluation and also guardrails and UAT processes.
GenAI adoption

RAG Assistant transforms AI and data projects

Reducing ROI uncertainty and delivering measurable results.

Pre-built frameworks eliminate inefficiencies, allowing businesses to launch projects faster with proven, curated tools.
Decision-makers benefit from clear performance metrics, optimized cost structures, and reduced latency, ensuring reliable and cost-effective Generative AI solutions.

How it works

3 key features

RAG prototype builder

Quick prototype builder with lots of options of LLMs, RAG types and more. This feature allows you to quickly build a Q&A bot in seconds, enabling full configuration of every aspect of the system.

RAG evaluator

Semi-automatic evaluation of prototypes in terms of accuracy, cost and latency. A set of functionalities to evaluate results using test cases in a semi-automatic way.

Guardrails & User feedback

The system analyses every user input and system output, assessing ethical considerations, PII content, and sentiment. Additionally, it supports user acceptance testing (UAT) processes by providing feedback capture elements.

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