Enhance your RAG pipeline with advanced retrieval techniques. Implement hybrid retrieval, iterative query refinement, and context summarization. Constrain LLM outputs to retrieved context, ensuring accuracy and minimizing hallucinations in final responses.
Overview
Syllabus
- Unit 1: Constrained Generation in Retrieval-Augmented Systems
- Constrained Prompt Completion Challenge
- Mastering the Strict Prompt Strategy
- Citation Prompt Strategy Implementation
- Reimplement Constrained Generation Function
- Smart Context Management
- Unit 2: Iterative Retrieval for Enhanced RAG Pipelines
- Inverted Distance Similarity Score
- Limit Chunks in Iterative Retrieval
- Enhance Iterative Retrieval Process
- Unit 3: Handling Overlaps and Summarization in RAG Pipelines
- Detecting Overlapping Text Chunks
- Fix the Summarization Logic
- Crafting the Final Answer
- Unit 4: Combining Lexical and Embedding-Based Retrieval in RAG Systems
- Enhance Hybrid Retrieval Function
- Fix BM25 Normalization Bug
- Refine Your Retrieval System
- Building a BM25 Index