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RAG with Docker: Quickstart Guide

Lab Overview​

Learn how to containerize and deploy a Retrieval Augmented Generation (RAG) system using Docker, ensuring secure and scalable knowledge-enhanced AI applications.

Lab Materials​

Key Topics​

  • RAG system containerization
  • Docker deployment
  • Document processing
  • Vector store setup
  • Security implementation

Features​

  • Containerized RAG system
  • Document ingestion
  • Vector embeddings
  • Semantic search
  • Secure deployment

Technical Components​

  • Docker configuration
  • RAG pipeline setup
  • Vector store integration
  • Query processing
  • Response generation

Implementation Steps​

  1. RAG system setup
  2. Docker environment configuration
  3. Document processing pipeline
  4. Vector store integration
  5. Security implementation
  6. Deployment process

Best Practices​

  • Document chunking
  • Embedding optimization
  • Query processing
  • Response generation
  • Security hardening

Prerequisites​

  • Docker Desktop installation
  • Basic understanding of:
    • RAG concepts
    • Docker
    • Vector embeddings
    • Security practices

Resources​