Software Engineering
281 learners
Beyond Basic RAG: Improving our Pipeline
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.
Python
See path
4 lessons
15 practices
1 hour
Badge for RAG Systems and Vector Databases,
RAG Systems and Vector Databases
Lessons and practices
Lesson 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
Lesson 2: Iterative Retrieval for Enhanced RAG Pipelines
Inverted Distance Similarity Score
Limit Chunks in Iterative Retrieval
Enhance Iterative Retrieval Process
Lesson 3: Handling Overlaps and Summarization in RAG Pipelines
Detecting Overlapping Text Chunks
Fix the Summarization Logic
Crafting the Final Answer
Lesson 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
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