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January 2024: Turbocharging RAG

Welcome to our January 2024 events! This month focuses on advanced Retrieval Augmented Generation (RAG) implementations and multi-modal capabilities.

RAG Implementation

  1. RAG with LangChain

    • Comprehensive RAG system setup
    • Deployment with LangServe and Docker
    • Performance optimization techniques
  2. Image Processing with Local LLMs

    • Local LLM implementation
    • Multi-modal capabilities
    • RAG pipeline integration

Event Details

Turbocharge Your AI with RAG (January 17, 2024)

Comprehensive session on Retrieval Augmented Generation:

  • In-depth exploration of RAG architecture
  • Practical implementations
  • Integration with various tools and platforms

Key Topics

  • RAG fundamentals and advanced concepts
  • Local LLM integration
  • Image processing capabilities
  • Deployment strategies

Labs and Workshops

RAG Implementation Lab

Two major hands-on workshops:

  1. RAG with LangChain in Google Colab

    • Setting up RAG pipeline
    • Integration with LangChain
    • Real-time implementation
  2. RAG Deployment with LangServe and Docker

    • Containerized deployment
    • LangServe integration
    • Production best practices

Image Processing Lab

  • Local LLM implementation
  • Integration with RAG pipeline
  • Multi-modal capabilities
  • Performance optimization

Prerequisites

  • OpenAI API key
  • Google Colab account
  • Docker Desktop installation
  • Basic understanding of:
    • LangChain concepts
    • Docker containers
    • Python programming

Resources