Mastering PowerPoint Creation with RAG-Powered Automation in Google Colab
Leveraging Google’s ‘gemma2:9b’ Model with Ollama for Seamless and Intelligent Presentation Creation
How This Code Works For You
At the end of this article, you’ll find a link to a Google Colab notebook that makes it incredibly easy to use this code. The code is designed to generate context-specific databases from a provided PDF document, which then serve as the foundation for generating thematically focused presentations. It accepts a list of topics, which it will expand upon using the context extracted from the document, and a tone-setting phrase to guide the style of the presentation.
This code also leverages LangChain (https://www.langchain.com/), a powerful framework that integrates large language models (LLMs) and tools like Ollama to seamlessly generate structured, contextually relevant outputs. In this case, it uses Google’s gemma2:9b model delivered through Ollama to ensure that the content is not only accurate but also contextually appropriate. Finally, the generated product can be saved in multiple formats, such as PPTX and DOCX, making it adaptable for various uses.
Don’t miss the link at the end of the article that takes you directly to the Google Colab project, where you can run this code and explore its…
