Completed
- Conclusion
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Classroom Contents
Improving RAG Pipelines with Contextual Information Retrieval
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- 1 - Intro
- 2 - What is RAG?
- 3 - Semantic similarity and Lexical Matching
- 4 - TF-IDF and BM25
- 5 - BM25 calculation illustration
- 6 - BM25 & TF-IDF in RAG
- 7 - Contextual Retrieval
- 8 - Implementing Contextual Retrieval
- 9 - Performance with Contextual Retrieval
- 10 - Implementation Considerations
- 11 - Boosting performance
- 12 - Conclusion
