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← Vector Databases on AWS
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Question
A retailer already keeps its product catalog in Amazon Aurora PostgreSQL, and its team is skilled in SQL. It wants to store product description embeddings next to the catalog rows and query both together. Which approach fits BEST?
1
Copy the catalog into Amazon DynamoDB key-value items
2
Rebuild the catalog in an Amazon Neptune graph
3
Store the embeddings as files in an S3 bucket only
4
Use the pgvector extension in Aurora PostgreSQL
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