March 27, 2024, 10:29 a.m. | /u/DocBrownMS

Machine Learning www.reddit.com

Hey all, I've recently published a tutorial at Towards Data Science that explores a somewhat overlooked aspect of Retrieval-Augmented Generation (RAG) systems: the visualization of documents and questions in the embedding space: [https://towardsdatascience.com/visualize-your-rag-data-evaluate-your-retrieval-augmented-generation-system-with-ragas-fc2486308557](https://towardsdatascience.com/visualize-your-rag-data-evaluate-your-retrieval-augmented-generation-system-with-ragas-fc2486308557)

While much of the focus in RAG discussions tends to be on the algorithms and data processing, I believe that visualization can help to explore the data and to gain insights into problematic subgroups within the data.

This might be interesting for some of you, although I'm …

algorithms data data processing discussions explore focus insights kind machinelearning processing rag subgroups visualization

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Field Sample Specialist (Air Sampling) - Eurofins Environment Testing – Pueblo, CO

@ Eurofins | Pueblo, CO, United States

Camera Perception Engineer

@ Meta | Sunnyvale, CA