Post Content
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
💻 RAG Beyond Basics Course:
https://prompt-s-site.thinkific.com/courses/rag
Let’s Connect:
🦾 Discord: https://discord.com/invite/t4eYQRUcXB
☕ Buy me a Coffee: https://ko-fi.com/promptengineering
|🔴 Patreon: https://www.patreon.com/PromptEngineering
💼Consulting: https://calendly.com/engineerprompt/consulting-call
📧 Business Contact: engineerprompt@gmail.com
Become Member: http://tinyurl.com/y5h28s6h
💻 Pre-configured localGPT VM: https://bit.ly/localGPT (use Code: PromptEngineering for 50% off).
Signup for Newsletter, localgpt:
https://tally.so/r/3y9bb0
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
All Interesting Videos:
Everything LangChain: https://www.youtube.com/playlist?list=PLVEEucA9MYhOu89CX8H3MBZqayTbcCTMr
Everything LLM: https://youtube.com/playlist?list=PLVEEucA9MYhNF5-zeb4Iw2Nl1OKTH-Txw
Everything Midjourney: https://youtube.com/playlist?list=PLVEEucA9MYhMdrdHZtFeEebl20LPkaSmw
AI Image Generation: https://youtube.com/playlist?list=PLVEEucA9MYhPVgYazU5hx6emMXtargd4z Read More Prompt Engineering
#AI #promptengineering
