Amazon DocumentDB now supports vector search with Hierarchical Navigable Small World (HNSW) index, enabling low-latency vector similarity searches and highly relevant results for machine learning and generative AI applications.

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<p>Amazon DocumentDB (with MongoDB compatibility) now supports vector search with Hierarchical Navigable Small World (HNSW) index, allowing you to execute vector similarity searches with low latency and highly relevant results.</p>
<p>Specifically, the article covers:</p>
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<li>Vector search for storing and searching vectors from Amazon Bedrock, Amazon SageMaker, and more</li>
<li>Enabling a wide range of use cases like semantic search, product recommendations, personalization, and chatbots</li>
<li>Vector search availability on DocumentDB 5.0 instance-based clusters in all regions where Amazon DocumentDB is available</li>
<li>Getting started with vector search via AWS Console or CLI, and learning more from the features page and developer guide</li>
</ul>
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Amazon DocumentDB now supports vector search with HNSW index

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