The Best RAG Technique Yet? Anthropic’s Contextual Retrieval Explained!

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​ Anthropic has launched a new retrieval mechanism called contextual retrieval, which combines chunking strategies with re-ranking to significantly improve performance. In this video, I explain how this technique enhances retrieval accuracy, including practical implementation steps and benchmark results. Learn how to optimize your RAG systems by adding contextual embeddings, keyword-based BM25 indexing, and re-ranking to achieve state-of-the-art results.

LINKS:
https://www.anthropic.com/news/contextual-retrieval
https://github.com/anthropics/anthropic-cookbook/blob/main/skills/contextual-embeddings/guide.ipynb
https://youtu.be/Fv_j52DDJUE
https://youtu.be/kEgeegk9iqo
https://youtu.be/DI9Q60T_054

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00:00 Introduction to Contextual Retrieval
00:20 Understanding RAG Systems
00:55 Combining Semantic and Keyword Search
01:44 Challenges with Standard RAG Systems
02:48 Anthropic’s Contextual Retrieval Approach
03:37 Implementing Contextual Retrieval
07:06 Performance Improvements and Benchmarks
09:02 Best Practices for RAG Systems
12:48 Code Example and Practical Implementation
15:21 Conclusion and Final Thoughts

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