AWS Architecture Blog
Author: Dhananjay Karanjkar
Dhananjay is a Senior Lead Consultant at AWS Professional Services, specializing in agentic AI systems, multi-agent orchestration, and generative AI security. He holds two US patents and serves as a Responsible AI Champion, with a background spanning financial services, enterprise consulting, and enterprise-scale AI delivery. When not architecting AI solutions, he trains for triathlons, paints oil portraits, and reads voraciously.
Build a unified AI agent architecture with DynamoDB and Bedrock
With native vector search in Amazon DynamoDB, you can store vector embeddings alongside your operational data in a single table. This post shows how to build a unified AI agent architecture where an Amazon Bedrock agent uses one DynamoDB table for both structured lookups and semantic search, with a DynamoDB Streams pipeline that keeps embeddings in sync.