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Optimizing Retrieval Agents with Shirley Wu - Weaviate Podcast #115!

Weaviate Podcast

CHAPTER

Vector Embeddings in Recommendation Systems

This chapter focuses on the use of vector embeddings to enhance the representation of objects in an attribute graph, specifically in the context of Airbnb listings. It explores the concepts of graph retrieval augmented generation (RAG), the interplay between structured data and embeddings, and the challenges faced in retrieving information from large documents. Additionally, the discussion highlights the importance of a dynamic approach to updating attributes and the potential of integrating multimodal data within vector databases.

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