•1 min read•from InfoQ
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 LosioWant to read more?
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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