Streamline AI Agents with DynamoDB and Bedrock Integration
Discover how to unify AI agent architecture using DynamoDB's vector search and Amazon Bedrock to simplify data management.
Tech blog · India
Deep dives into React.js, AI and ML integration, MERN stack patterns, and lessons from building production applications at scale in India — written by Deepak Kumar.
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Showing 2 articles tagged bedrock. Clear filter
Node.js 22 simplifies streaming Claude tokens with Bedrock using server-sent events (SSE), enhancing real-time user experience.
Read the articleDiscover how to unify AI agent architecture using DynamoDB's vector search and Amazon Bedrock to simplify data management.
About the author
Deepak Kumar
Sr Software Engineer at India Today Group | Aaj Tak
Building scalable web applications and Generative AI systems. Writing about React, Node.js, AI and the engineering lessons from 9+ years of production work.
More about meOpen to senior full-stack and AI engineering roles, and to focused contract work. Delhi NCR or fully remote. I reply within 24 hours.
What I take on
Full-stack product build
React, Next.js, Node, NestJS, MongoDB and MySQL — from idea to production.
AI features that ship
OpenAI and LangChain, RAG, semantic search, content and voice automation.
Architecture and scale
Microservices, real-time pipelines and caching — proven at national news scale.
Founding engineer work
Idea to MVP to scale, with SEO and analytics built in from the start.