Relevance and Scoring Mechanisms for RAGs

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Eduardo Freitas

32:05

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1. Section 1 - Basic Ranking (Part 1).mp4

05:14

2. Section 1 - Basic Ranking (Part 2).mp4

03:38

3. Section 2 - Advanced Scoring Mechanisms.mp4

03:45

4. Section 3 - Implementation and Evaluation of Ranking Techniques (Pa.mp4

05:03

5. Section 3 - Implementation and Evaluation of Ranking Techniques (Pa.mp4

05:10

6. Section 4 - Optimization and Adaptation for Specific RAG Tasks (Par.mp4

03:38

7. Section 4 - Optimization and Adaptation for Specific RAG Tasks (Par.mp4

05:37

exercise.zip

Description

Master ranking algorithms and advanced scoring with Python. This course covers BM25, BERT, semantic similarity, and ensemble methods, focusing on effective document retrieval, evaluation, and optimization for sophisticated search systems.

What You'll Learn?

As data complexity increases, traditional search and ranking methods can become inadequate. In this course, Relevance and Scoring Mechanisms for RAGs, you'll explore cutting-edge ranking and scoring techniques to elevate your information retrieval systems.

First, you’ll learn about foundational ranking algorithms such as BM25 and cosine similarity to grasp the basics of document relevance.

Then, you’ll dive into sophisticated techniques like BERT embeddings and semantic matching with Sentence Transformers to handle complex queries and enhance retrieval accuracy.

Finally, you’ll gain practical skills in implementing and optimizing these techniques using Python libraries, including tuning and adapting methods for specific tasks and domains.

By the end of this course, you'll have a comprehensive understanding of modern ranking algorithms, be able to apply advanced scoring methods, and effectively optimize search and retrieval systems for improved performance and accuracy.

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Python

Eduardo Freitas

Instructor's Courses

Eduardo is a technology enthusiast, software architect and customer success advocate. He's designed enterprise .NET solutions that extract, validate and automate critical business processes such as Accounts Payable and Mailroom solutions for all types of organizations. He's designed and supported production systems for global names such as Coca Cola, Enel, Pirelli, Fiat-Chrysler, Xerox and many others. He's a well-known specialist in the Enterprise Content Management market segment, specifically focusing on data capture & extraction and document process automation. He designed a supplier invoice processing system for Agfa that achieved 50% straight-through processing (50% of invoices extracted from paper, validated and exported into SAP without any human validation). He's also loves to write about cutting-edge technologies. He loves helping customers succeed. In his free time, he enjoys spending time with his family and being outdoors. He loves running and sports.

Pluralsight

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Pluralsight, LLC is an American privately held online education company that offers a variety of video training courses for software developers, IT administrators, and creative professionals through its website. Founded in 2004 by Aaron Skonnard, Keith Brown, Fritz Onion, and Bill Williams, the company has its headquarters in Farmington, Utah. As of July 2018, it uses more than 1,400 subject-matter experts as authors, and offers more than 7,000 courses in its catalog. Since first moving its courses online in 2007, the company has expanded, developing a full enterprise platform, and adding skills assessment modules.