Visualize your RAG Data — Evaluate your Retrieval-Augmented Generation System with Ragas

Retrieved on: 2024-03-03 20:22:03

Tags for this article:

Large language models

OpenAI

Natural language processing

Artificial neural networks

Generative pre-trained transformer

LangChain

GPT-3

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Visualize your RAG Data — Evaluate your Retrieval-Augmented Generation System with Ragas. View article details on hiswai:

Summary

The article explains how to construct and evaluate a Retrieval-Augmented Generation (RAG) system using UMAP for embedding visualization, with the practical example of managing Formula One information. It employs OpenAI's large language models (like GPT-3 and GPT-4), LangChain, and other tools such as ChromaDB to process questions and retrieve related document snippets as part of natural language processing and machine learning techniques. The article showcases the system's ability to generate questions, utilize source documents, and evaluate the outputs with tools like Ragas.

Article found on: towardsdatascience.com

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