• Retrieval, rerankers, and RAG tips and tricks | Data Brew | Episode 39

  • Feb 20 2025
  • Length: 45 mins
  • Podcast

Retrieval, rerankers, and RAG tips and tricks | Data Brew | Episode 39

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  • Summary

  • In this episode, Andrew Drozdov, Research Scientist at Databricks, explores how Retrieval Augmented Generation (RAG) enhances AI models by integrating retrieval capabilities for improved response accuracy and relevance.

    Highlights include:
    - Addressing LLM limitations by injecting relevant external information.
    - Optimizing document chunking, embedding, and query generation for RAG.
    - Improving retrieval systems with embeddings and fine-tuning techniques.
    - Enhancing search results using re-rankers and retrieval diagnostics.
    - Applying RAG strategies in enterprise AI for domain-specific improvements.
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