SEARCH & RETRIEVAL
Search & Retrieval 5 Chapters • Self-paced

Advanced RAG & Context Engineering

Implement enterprise-grade Retrieval-Augmented Generation, using hybrid search, rerankers, PDF metadata layout parsers, vector cache layers, and Ragas evaluation.

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Course Syllabus

1

1. Implementing Hybrid Search & Reranking Models

Focus: Implementing hybrid search and reranking models for enterprise RAG

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2

2. Chunking Strategies for Complex Structured PDFs

Focus: Chunking strategies and metadata parsing for complex structured PDFs

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3

3. Building Vector Cache Layers for Token Cost Reduction

Focus: Building vector cache layers to reduce token costs in production RAG

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4

4. Evaluating Context Quality using Ragas Framework

Focus: Evaluating retrieval context quality using the Ragas framework

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5

5. Graph-Based RAG & Structured Context Ingestion

Focus: How to implement graph-based retrieval-augmented generation pipelines

Study Lesson