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Build an AI Chatbot engine with Oracle Database 23ai and OCI Generative AI Services

About This Workshop

Youtube Video

About This Workshop
The main purpose of this workshop is to teach you how you can implement a RAG (Retrieval Augmented Generation) chatbot using vector similarity search and Generative AI / LLMs.

In today’s data-driven world, effectively managing and utilizing information is crucial for any organization. Whether dealing with customer support data, product documentation, or internal knowledge bases, organizing and retrieving relevant information from vast collections can be challenging. This tutorial demonstrates a comprehensive approach to processing, storing, and leveraging textual data using vectorization and retrieval techniques. By the end of this tutorial, you’ll understand how to transform raw documents into structured data, store them efficiently, and utilize advanced AI models to generate contextual responses.

Workshop Info

2 hours
  • Introduction
  • Get Started
  • Lab 1: Setup the vector database (Oracle Database 23ai)
  • Lab 2: Setup the Python Environment
  • Lab 3: Generate vector embeddings
  • Lab 4: Vector retrieval and Large Language Model generation
  • Lab 5: Next Steps
  • You have an Oracle Cloud account with access to OCI Generative AI service
  • You have enough privileges to use OCI
  • You have basic knowledge of Python and Jupyter Labs
  • Basic Linux knowledge

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