Back to all courses
Coming Soon
RAG Systems in Production
Learn to build robust RAG systems that combine the power of retrieval with generative AI. This course covers everything from choosing the right vector database to implementing advanced chunking strategies and building reliable evaluation pipelines.
10 lessons5 hoursIntermediate
Course in Development
This course is currently being created. Follow me to get notified when it launches.
What You'll Learn
Vector database selection and optimization
Embedding models and their trade-offs
Chunking strategies for different document types
Hybrid search combining semantic and keyword search
Evaluation frameworks for RAG systems
Production deployment patterns
Course Syllabus
1
Introduction to RAG30 min
2
Understanding Embeddings35 min
3
Vector Database Deep Dive45 min
4
Chunking Strategies40 min
5
Building the Retrieval Pipeline35 min
6
Hybrid Search Implementation30 min
7
Reranking and Filtering25 min
8
Evaluation Metrics for RAG35 min
9
Production Patterns40 min
10
Case Study: Building a Knowledge Base45 min
Prerequisites
- •Familiarity with LLMs
- •Basic understanding of embeddings
- •Python proficiency
About the Author
PB
Pranay Bathini
Senior Software Engineer @ Booking.com
Leading development of critical infrastructure and mentoring team members in building scalable distributed systems.
Member of Booking Holdings India AI Committee. Designed and implemented guest verification backend for ID verification at scale.