You will get a LLM Gateway / RAG
Project details
A RAG system using Amazon Web Services with Amazon Bedrock gateway, vector search, and model routing enables efficient, context-aware AI responses. Data is converted into embeddings and stored in a vector database (e.g., OpenSearch) for semantic retrieval.
When a query is received, the Bedrock gateway retrieves relevant context using vector search and combines it with the prompt. A routing layer then selects the most suitable foundation model based on task type, cost, and performance. The chosen model generates a grounded response using both retrieved data and the user query.
This architecture reduces hallucinations, improves accuracy, supports multiple models, and ensures scalable and optimized AI response generation for enterprise applications.
When a query is received, the Bedrock gateway retrieves relevant context using vector search and combines it with the prompt. A routing layer then selects the most suitable foundation model based on task type, cost, and performance. The chosen model generates a grounded response using both retrieved data and the user query.
This architecture reduces hallucinations, improves accuracy, supports multiple models, and ensures scalable and optimized AI response generation for enterprise applications.
Programming Languages
HTML & CSS, Python, JavaCoding Expertise
Cross Browser & Device Compatibility, Performance Optimization, SecurityWhat's included $1,800
These options are included with the project scope.
$1,800
- Delivery Time 6 days
- Number of Revisions Unlimited
- Design Customization
- Content Upload
- Responsive Design
- Source Code
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About Ammar
AWS & Terraform Infrastructure Engineer | Cloud Automation DevOps/IaC
100%
Job Success
Gujranwala, Pakistan - 12:05 pm local time
Are your AWS environments built to scale or built to break? I help startups and engineering teams architect, automate, and secure cloud infrastructure using Terraform + AWS, so you spend less time firefighting and more time shipping product.
With 5+ years of hands-on AWS and Terraform experience, I've designed and delivered infrastructure for SaaS platforms, fintech companies, healthcare startups, and enterprise teams across the US, UK, and EU. My work covers the full infrastructure lifecycle from a blank AWS account all the way to a production-ready, compliance-hardened environment with full CI/CD, disaster recovery, and cost controls.
What I do best:
— Design multi-region AWS architectures (VPC, EKS, RDS, CloudFront, Route 53)
— Write modular, reusable Terraform code following HashiCorp best practices
— Build CI/CD pipelines on AWS CodePipeline, GitHub Actions, and GitLab
— Harden AWS environments to CIS Benchmark, SOC2, HIPAA, and PCI-DSS standards
— Cut AWS bills by 30–50% through right-sizing, scheduling, and Reserved Instance strategy
— Migrate legacy infrastructure into IaC with zero production downtime
I don't just write Terraform and disappear. Every engagement includes clear documentation, README files, and a handoff walkthrough so your team can own and extend the infrastructure confidently after we're done.
Technologies I work with daily: Terraform, AWS (EC2, EKS, ECS, RDS, Lambda, S3, IAM, VPC, CloudFront, Route 53, GuardDuty, Config, WAF), Docker, Kubernetes, GitHub Actions, GitLab CI, Helm, Prometheus, Grafana, Datadog, and Ansible.
100% Job Success Score · Top Rated Plus · 50+ Projects Delivered · 1,200+ Hours on Upwork
Clients rehire at a 78% rate because clean infrastructure built right the first time saves thousands in the long run.
My calendar fills up fast — click "Invite to Job" or send a message now with a quick overview of your infrastructure needs. I'll come back to you within a few hours with a honest assessment and a clear path forward. Let's build something that actually works.
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After purchasing the project, send requirements so Ammar can start the project.
Delivery time starts when Ammar receives requirements from you.
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Revisions may occur after the delivery date.
RAG System with Bedrock Gateway, Vector Search and Model Routing Setup