Chapter-0-Index○Chapter 0.1 - Course Index○Chapter 0.2 - Architecture Ingredients○Chapter 0.3 - QnAChapter-1-Pre-Requisites-and-Foundation○Chapter 1.1 - Core Concepts○Chapter 1.2 - QnA & Interview QuestionsChapter-2-Ingestion○Chapter 2.1 - Multi-Format Parsing○Chapter 2.2 - Structured ExtractionChapter-3-Chunking-Strategies○Chapter 3.1 - Recursive Chunking○Chapter 3.2 - Semantic ChunkingChapter-4-Hybrid-Indexing○Chapter 4.1 - Vector Embeddings (FAISS)○Chapter 4.2 - Keyword Search (BM25)Chapter-5-Retrieval-Fusion-and-Reranking○Chapter 5.1 - Two-Stage Retrieval○Chapter 5.2 - Reciprocal Rank Fusion○Chapter 5.3 - Cross-Encoder RerankingChapter-6-Generation-and-Guardrails○Chapter 6.1 - Small Talk Routing○Chapter 6.2 - Prompt GroundingChapter-7-Persistence○Chapter 7.1 - SQLite Chat History○Chapter 7.2 - User Authentication
Chapter-1-Pre-Requisites-and-Foundation○Chapter 1.1 - Core Concepts○Chapter 1.2 - QnA & Interview Questions
Chapter-4-Hybrid-Indexing○Chapter 4.1 - Vector Embeddings (FAISS)○Chapter 4.2 - Keyword Search (BM25)
Chapter-5-Retrieval-Fusion-and-Reranking○Chapter 5.1 - Two-Stage Retrieval○Chapter 5.2 - Reciprocal Rank Fusion○Chapter 5.3 - Cross-Encoder Reranking