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

Page: https://stenobird.com/podcast/data-brew-by-databricks/retrieval-rerankers-and-rag-tips-and-tricks-data-brew-episode-39
Text version: https://stenobird.com/podcast/data-brew-by-databricks/retrieval-rerankers-and-rag-tips-and-tricks-data-brew-episode-39.md
Podcast: [Data Brew by Databricks](https://stenobird.com/podcast/data-brew-by-databricks)
Published: 2025-02-20T17:00:00+00:00
Episode link: https://www.buzzsprout.com/1370119/episodes/16651827-retrieval-rerankers-and-rag-tips-and-tricks-data-brew-episode-39.mp3
Audio file: https://www.buzzsprout.com/1370119/episodes/16651827-retrieval-rerankers-and-rag-tips-and-tricks-data-brew-episode-39.mp3
Processing state: processed
JSON: https://stenobird.com/v1/public/podcasts/data-brew-by-databricks/episodes/retrieval-rerankers-and-rag-tips-and-tricks-data-brew-episode-39
Duration seconds: 2722

## Resource

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-...

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## Transcript

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