Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

Measuring and Improving Retrieval in RAG Systems - Haystack US 2024

OpenSource Connections via YouTube

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore a conference talk from Haystack US 2024 focusing on enhancing the retrieval aspect of Retrieval-Augmented Generation (RAG) systems. Delve into Scott Stults' presentation on measuring and improving the quality of text chunks used for context in RAG. Learn about the challenges of traditional human expert judgments and discover an innovative approach using Large Language Models (LLMs) to generate quality assessments. Understand how this method can be applied to tune retrieval processes and ultimately enhance the quality of generated responses. Gain insights from Stults' extensive experience in implementing search solutions with complex security requirements across various defense and commercial projects. Benefit from the expertise of OpenSource Connections, a company specializing in Solr since 2007, and their best practices for securing Solr implementations.

Syllabus

Haystack US 2024 - Scott Stults: Measuring and Improving the R in RAG

Taught by

OpenSource Connections

Reviews

Start your review of Measuring and Improving Retrieval in RAG Systems - Haystack US 2024

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.