A modular and comprehensive solution to deploy a Multi-LLM and Multi-RAG powered chatbot (Amazon Bedrock, Anthropic, HuggingFace, OpenAI, Meta, AI21, Cohere, Mistral) using AWS CDK on AWS

Fully managed RAG solution implemented using Knowledge Bases for Amazon Bedrock

A demo ChatBot application developed using Amazon Bedrock service's KnowledgeBase, Agent and other AWS's serveless GenAI solution.

Bedrock Knowledge Base and Agents for Retrieval Augmented Generation (RAG)

An AWS CDK application built to explore OpenSearch Serverless

Typical use cases of opensearch serverelss: search, time-series, kinesis firehose integration, securing with VPC

Thala is an Intelligent incident management system for automated detection, classification, and resolution tracking. this is an efficient tool that integrates with existing developer ecosystem {Winner : SuperHack 2025} 😉

Dynamic Terraform module, which creates a Kinesis Firehose Stream and others resources like Cloudwatch, IAM Roles and Security Groups that integrate with Kinesis Firehose. Supports all destinations and all Kinesis Firehose Features.

Multimodal saree search app built using Amazon Titan Multimodal Embeddings model

Dynamic Terraform module, which creates a Opensearch Serverless Collection and all related Resources

This project was launched to implement automatic video similarity detection through an efficient unified identification model.

A CDK sample application to setup OpenSearch Serverless with cross account access.

AI HR assistant using Amazon Bedrock Agents, Knowledge Base, Lambda, DynamoDB and OpenSearch

Built an AI-powered HR assistant that automated daily employee queries using Amazon Bedrock, Knowledge Base (RAG), Lambda, and DynamoDB. Enabled 24/7 policy Q&A and real-time leave management through intelligent action groups. Reduced HR workload by ~60% and improved response time from hours to seconds using a scalable, serverless architect

Enterprise Knowledge Assistant built with Amazon Bedrock, OpenSearch Serverless, and S3 using Retrieval Augmented Generation (RAG) architecture.

Multi-agent post-sale assistant built on Amazon Bedrock. Combines RAG (OpenSearch Serverless) and a specialized Inventory Agent (Lambda + DynamoDB) orchestrated by a Supervisor Agent.