Discover the power of vector search with Amazon DocumentDB (with MongoDB compatibility) in this informative video. Senior Product Manager Inder demonstrates how to build a semantic search application using vector search capabilities. The presentation covers an introduction to Amazon DocumentDB, a deep dive into vector search, and a step-by-step guide to creating a semantic search app using DocumentDB and Amazon Bedrock. Inder showcases a live demo of a movie search application, highlighting the differences between traditional text search and semantic search. The video also explains the architecture behind semantic search and provides code samples for implementation. Learn why DocumentDB is an ideal choice for AI/ML workloads, offering flexible schema, rich querying capabilities, and cost-effective pricing models. This comprehensive guide is perfect for developers and data professionals looking to enhance their search capabilities with vector search technology.

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