📦 Source Code Repository: AI-Customer-Support-Platform

All infrastructure, deployment configs, and application code are open-source and available for reference.

Building the AI Customer Support Platform: A Production-Grade Engineering Deep Dive

Executive Summary

The AI Customer Support Platform is an intelligent, scalable chatbot system powered by Groq's LLaMA 3.3 70B large language model, deployed on AWS EKS with enterprise-grade DevOps, cloud infrastructure, and security operations. The platform processes customer queries in real-time, leverages Retrieval Augmented Generation (RAG) to search company knowledge bases, caches responses in Redis to optimize costs, and supports document uploads (PDF, Word, Excel) as additional context.

This project demonstrates a complete production infrastructure with Infrastructure as Code (Terraform), GitOps (ArgoCD), CI/CD (GitHub Actions), comprehensive observability (OpenTelemetry, Prometheus, Grafana), and security operations (Wazuh SIEM, Trivy scanning, Checkov policy validation).

Technology Stack

The platform leverages 20+ technologies across three core layers:

AI & Application Layer

• LLM Engine: Groq LLaMA 3.3 70B (fast inference, cost-optimized)
• Framework: FastAPI (Python)
• Vector Database: Qdrant (semantic search for RAG)
• Cache Layer: Redis (query caching, session management)
• Database: PostgreSQL 16 (relational data, audit logs)
• Document Processing: PDF, DOCX, XLSX parsers
• Observability Instrumentation: OpenTelemetry (automatic tracing)

Infrastructure & Orchestration

• Compute: AWS EKS (Kubernetes 1.35)