AI025
Practical RAG Systems: From Knowledge Bases to Retrieval-Augmented Generation
Data Transformation: Chunking, Embeddings, and Indexing
Learning Objectives
- Identify optimal chunking strategies for various document types
- Evaluate the performance of different embedding models in semantic search
- Implement and compare indexing algorithms like HNSW and IVF for high-dimensional vectors