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AWS Introduces Native Vector Search for DynamoDB

AWS Introduces Native Vector Search for DynamoDB

Amazon DynamoDB recently introduced native vector search, allowing developers to store embeddings alongside application data and run approximate nearest-neighbor queries directly from DynamoDB without using a separate vector database. The feature supports filtered similarity searches and configurable vector indexes for semantic search workloads.

By Renato Losio

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Tagged with

#AWS
#DynamoDB
#Vector Search
#Embeddings
#Approximate Nearest Neighbor (ANN)
#Semantic Search
#Vector Database
#Similarity Search
#Filtered Similarity Search
#Vector Indexes
#Application Data
#Query
#Workloads
#Amazon
#Native
#Data Storage
#Cloud Computing
#Database
#Renato Losio
#Information Retrieval