Extracting Structured Information from PDFs with LangChain and Gemini Pro
Offered By: The Machine Learning Engineer via YouTube
Course Description
Overview
Learn how to extract structured information from PDFs using LangChain, Gemini Pro 1.5, and Pydantic in this 27-minute tutorial video. Explore techniques for efficiently processing and organizing data from PDF documents, leveraging the power of machine learning and natural language processing. Follow along with the provided GitHub notebook to gain hands-on experience in implementing Retrieval-Augmented Generation (RAG) techniques for information extraction.
Syllabus
RAG: How to extract structured Information from PDFs with LangChain and Gemini Pro #machinelearning
Taught by
The Machine Learning Engineer
Related Courses
Better Llama with Retrieval Augmented Generation - RAGJames Briggs via YouTube Live Code Review - Pinecone Vercel Starter Template and Retrieval Augmented Generation
Pinecone via YouTube Nvidia's NeMo Guardrails - Full Walkthrough for Chatbots - AI
James Briggs via YouTube Hugging Face LLMs with SageMaker - RAG with Pinecone
James Briggs via YouTube Supercharge Your LLM Applications with RAG
Data Science Dojo via YouTube