RAG Systems End-to-End

From chunking and embeddings to retrieval, re-ranking, and evaluation.

Generative AI• intermediate

Course overview

3 lessons
42 min of lessons
Last updated 2024-01-21
W

Webnetis training team

Course trainers

What you'll learn

Design and implement RAG systems from scratch
Master document chunking and embedding strategies
Build efficient retrieval and re-ranking pipelines
Evaluate RAG system performance
Deploy production-ready RAG applications

Course content

3 lessons • 42 min
1
Chunking

Split and label documents.

12 min
2
Embeddings

Vectorize for retrieval.

14 min
3
RAG Evaluation

Measure grounding quality.

16 min

Requirements

  • Python programming experience
  • Understanding of vector databases
  • Familiarity with LLMs and embeddings
  • Basic knowledge of information retrieval

About this course

This comprehensive course covers the entire RAG pipeline from document processing to deployment. You'll build real RAG systems and learn industry best practices.

Resources

Vector Database Comparison

link

$249$349
29% OFF

One-time payment

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5.5 hours of video content
Certificate of completion
Production RAG templates
Advanced evaluation techniques
30-day refund guarantee

Full refund within 30 days if you're not satisfied

Course Info

English
42 min total
3 lessons
Certificate of completion
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