Скачать или смотреть Unify Vectors and Metadata: RAG with MongoDB Vector Search in 3 minutes

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Developers are getting the most out of Atlas Vector Search through intelligent data modeling of unstructured data. This enables both iterating on your search problem and operating your search system in a way that seamlessly syncs with your original source data. We will also discuss how to consider the capabilities of embedding and chat completion models so that you can effectively ingest data into MongoDB in a way that makes it easily searchable.

Watch the full session    • Unifying Vectors & Metadata: Intro to Data...  

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