AI assistant on Amazon Bedrock

This is a professional services engagement that delivers a complete, production-ready retrieval-augmented generation (RAG) AI asssistant built on AWS Bedrock. Designed for startups and enterprises, this solution enables employees and customers to ask questions in natural language and receive precise, contextual answers drawn from your organization's internal knowledge base.

• Reduce time spent searching for information - Put organizational knowledge at your team's fingertips with instant, natural-language answers from an AI assistant available 24/7
• Improve customer and employee experience - Deliver accurate, context-aware responses that eliminate manual lookups and support tickets
• Accelerate decision-making - Surface actionable insights from internal data sources in seconds, not hours
• Lower LLM operating costs - Migrate from third-party AI providers to AWS Bedrock for significant infrastructure cost savings
• Scale with confidence - Architecture proven to handle rapid growth without performance degradation
• Demonstrate measurable ROI - Realize savings across infrastructure costs, user productivity, and reduced support burden

• Migration to AWS Bedrock - Full migration of existing or new GenAI workloads to AWS Bedrock with LLM and RAG integration
• AWS Landing Zone - Secure, Well-Architected foundation following AWS best practices
• Kubernetes on Amazon EKS - Container orchestration for scalable, resilient deployments
• Data ingestion pipelines and embedding generation - Automated processing of your knowledge sources into searchable vector representations
• Semantic search with Amazon OpenSearch - Vector indexing for high-relevance retrieval across your custom knowledge base
• Prompt orchestration with context and memory - Conversation management that maintains user history for coherent, multi-turn interactions with the AI agent
• Infrastructure as Code with Terraform - Repeatable, version-controlled deployments
• CI/CD pipelines - Automated delivery with GitHub Actions and ArgoCD
• Cost controls - AWS Budgets configuration to monitor and manage cloud spend
• Complete documentation and knowledge transfer - Comprehensive handoff so your team can own and evolve the AI agent independently

Whether you are building an internal knowledge AI assistant, a customer-facing AI agent, or an intelligent documentation layer, this engagement delivers a production-grade solution designed to generate business value from day one.