Learn how to build a Retrieval-Augmented Generation (RAG) application using Excel sheets with Docling and Llama-3.2, utilizing layout analysis, table structure recognition models, and local LLM run. The detailed step-by-step process demonstrates parsing files, setting up models, embedding data, creating an index, and querying the data, with seamless integration into a Streamlit interface. Explore further advanced techniques in the upcoming RAG crash course.
Table of contents
Step 1) Parse file using Docling:Step 2) Set up LLM and embedding modelStep 3) Embed data and create an indexStep 4) Define a query engine and chat[REMINDER] Only 2 days left to unlock the best of DailyDoseofDS Here's what you'll get:1 Comment
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