
This episode is about chunking, the quiet step in a RAG pipeline that decides whether your system retrieves the right answer or a confidently wrong one. It covers why the chunk is the real unit of retrieval, the tradeoff between context and precision, the main strategies teams use to split documents, and why testing your chunks against real questions matters more than picking the perfect size.
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Module 6: RAG | Long Context vs RAG - Do You Still Need Retrieval at All

Module 6: RAG | GraphRAG - When Relationships Matter More Than Text

Module 6: RAG | Query Transformation - When the Question Is the Bottleneck

Module 6: RAG | Parent-Child Indexing - Search Small, Retrieve Big
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