RAG Systems End-to-End
From chunking and embeddings to retrieval, re-ranking, and evaluation.
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Generative AI• intermediate
RAG Systems End-to-End
From chunking and embeddings to retrieval, re-ranking, and evaluation.
4.2(23 reviews)
45 students
Last updated 2024-01-21
Dr. Robert Kim
RAG Systems Architect
0:00 / 0:00
RAG Systems End-to-End - Preview
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 sections • 42 minutes
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.
$249$349
29% OFF
One-time payment • Lifetime access
5.5 hours of video content
22 downloadable resources
Certificate of completion
Lifetime access
Production RAG templates
Advanced evaluation techniques
30-day guarantee
Full refund if you're not satisfied
Course Info
English
42 hours total
3 lessons
Certificate of completion