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In this talk, we examine the state-of-the-art in AI-powered search and retrieval. We detail techniques for enhancing performance beyond base embedding models, including hybrid search, reranking strategies, query decomposition and document enrichment, the use of domain-specific and fine-tuned embeddings, custom data processing pipelines (ETL), and contextualized chunking methods. About Frank Liu Frank Liu is Staff Product Manager at MongoDB. He has over a decade of industry experience in machine learning and hardware engineering and presents at major industry events like the Open Source Summit Open Data Science Conference. In his spare time, he enjoys experimenting with and training models. Frank holds MS and BS degrees in Electrical Engineering from Stanford University. Recorded at the AI Engineer World's Fair in San Francisco. Stay up to date on our upcoming events and content by joining our newsletter here: https://www.ai.engineer/newsletter