RAG on Excel Files Using LLMs with LlamaIndex
Summary

RAG on Excel Files Using LLMs with LlamaIndex

Fahd Mirza14 min1/20/2026
Watch on YouTube

📋 Summary

In this video, the presenter demonstrates how to perform retrieval augmented generation (RAG) on Excel files using Llama Index and Google Colab. The process involves converting enterprise data, typically in CSV or Excel format, into an AI-compatible format using Llama Index, which simplifies tasks like splitting, embedding, and storing data in a vector store. By using Llama Index and Llama pars, users can interact with their Excel files, extracting intelligence with the help of an OpenAI model. The video also includes a hands-on demo, covering the setup of API keys, uploading Excel files, and running queries to retrieve specific data from the Excel sheet.

Watch the Original Video

Generate More from This Video

Try 30+ AI tools: Flashcards, Blog Posts, Q&A, Study Guides, and more

Content generated by AI from the video transcript.

View original video on YouTube