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You will get AI Bedrock RAG SAAS Application

Project details
Use Cases:
• Customer Support: Contextualized answers using company knowledge bases.
• Education: Instant learning material summaries.
• Healthcare: Supporting doctors with precision-driven answers from medical literature.
• E-commerce: Personalized shopping recommendations and detailed product inquiries.
Workflow:
• User queries the application through an API.
• The system retrieves relevant documents or data using semantic search.
• AWS Bedrock augments its generated response with the retrieved data.
• A refined and contextualized response is returned to the user.
• Customer Support: Contextualized answers using company knowledge bases.
• Education: Instant learning material summaries.
• Healthcare: Supporting doctors with precision-driven answers from medical literature.
• E-commerce: Personalized shopping recommendations and detailed product inquiries.
Workflow:
• User queries the application through an API.
• The system retrieves relevant documents or data using semantic search.
• AWS Bedrock augments its generated response with the retrieved data.
• A refined and contextualized response is returned to the user.
Programming Languages
PythonCoding Expertise
Cross Browser & Device CompatibilityWhat's included $5,000
These options are included with the project scope.
$5,000
- Delivery Time 10 days
- Number of Revisions Unlimited
- Number of Pages 10
- Design Customization
- Content Upload
- Responsive Design
- Source Code
29 reviews
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OS
Omer S.
Dec 25, 2024
aws expert
Super proffesional!
TB
Tom B.
Nov 4, 2024
AWS Environment Setup & Frontend Website Development with Terraform REVIEW
EG
Ekansh G.
Aug 2, 2024
I already have a running amplify project, and I need someone to explain that to me.
Rajesh excelled in solving Amplify queries and ensuring all systems were in place. His communication was clear, deadlines were consistently met, and his expertise with Amplify was impressive. Rajesh's proactive approach to problem-solving and attention to detail were particularly valuable. He went above and beyond to optimize our systems and anticipate challenges. Kudos to Rajesh for his outstanding effort and expertise. I look forward to working with him again on future projects.
AR
Arif R.
Jul 31, 2024
AWS Amplify V5 to V6 Migration
Rajesh is good at his work and he knows what needs to be done and helped me to resolve the issues by migration from aws amplify v5 to v6.
AD
Anthony D.
Jul 4, 2022
Amplify Project for API based product
Rajesh completed this stage of project successfully
About Rajesh
Agentic AI Workflow Automation | AI/ML Serverless | Cloud Automation
100%
Job Success
Kolkata, India - 5:42 pm local time
For instance, I recently developed a server less web application for a client, utilizing Amazon q, AWS Lambda and API Gateway to create a highly scalable backend, and DynamoDB for a flexible, no-SQL database. Another project involved migrating a legacy system to a serverless architecture, resulting in a 50% reduction in operational costs and improved performance.
👉 I am dedicated to continuous learning and improving my skills to better serve my clients. Committed to delivering top-notch solutions on Upwork, I am here to help you achieve your project goals with precision and care.
🛠️ - Amazon Q, AWS BedRock, Amplify, CDK, AWS Lambda, Lambda Resolver, Lambda Concurrency, ESC, Fargate
- CI /CD
- AppSync, GraphQL
- No SQL: DynamoDB,
- RDS: Aurora, Postgres, Mysql
- AWS EBS
- AWS S3
- AWS Cognito( federated identities: Okta, Microsoft AD, SSO, Google, Facebook, Apple)
- AWS Ec2, VPC
- AWS Load Balancing
- AWS Cloud Watch
- AWS Autoscaling
- AWS IAM
- AWS SQS, SNS
- AWS Route 53
- SAM
📊 Use Cases:
Serverless Web Application: Developed a serverless web application for a client using AWS Lambda and API Gateway for a highly scalable backend, and DynamoDB for a flexible, no-SQL database.
Legacy System Migration: Migrated a legacy system to a serverless architecture, resulting in a 50% reduction in operational costs and improved performance.
🧭 Real-Time Data Processing:
Implemented a real-time data processing pipeline with AWS Kinesis, Lambda, and S3, enabling the client to process and analyze streaming data efficiently.
🚀 Automated Infrastructure:
Created automated CI/CD pipelines using AWS CodePipeline and CodeBuild, significantly speeding up the deployment process and reducing manual errors.
Steps for completing your project
After purchasing the project, send requirements so Rajesh can start the project.
Delivery time starts when Rajesh receives requirements from you.
Rajesh works on your project following the steps below.
Revisions may occur after the delivery date.
Client purchases the project and sends requirements.