Key resources:

The Project Phases

  • Phase 1: RAG Systems: Zero to Hero
  • Phase 2: Ai Agents + Tool Use + Monitoring
  • Phase 3: Recommendation system
  • Phase 4: MLOps + LLMOps
  • Phase 5: Ful App Integration + Cloud Deployment
  • Phase 6: Monitoring + Alerting Mastery

Phase 1: Build Your Own AI Research Assistant

The 6-Week Learning Plan

  • Week 1: Infrastructure & API setup
  • Week 3: Ingestion Pipeline
  • Week 3: Search infrastructure
  • Week 4: Chunking + retrieval evaluation
  • Week 5: Full RAG system + prompts
  • Week 6: Observability + Versioning

Week 1: The Infrastructure That Powers RAG Systems

Substack link

The gap between AI tutorials and production reality isn't the algorithms - it's the infrastructure.

For production use case, we need to make sure our systems have:

  1. Robust Infrastructure - Services that don’t crash under load
  2. Clean Architecture - Code that teams can maintain and extend
  3. Observability - Monitoring that tells you what’s actually happening
  4. Automation - Pipelines that run without human intervent