Indexing PDF Content with AI/LLMs (Full Tutorial) скачать в хорошем качестве

Indexing PDF Content with AI/LLMs (Full Tutorial)

Learn how to create a powerful search index for PDF files using Google's cutting-edge AI technologies! This step-by-step tutorial covers: Using Document AI to extract text from PDFs Leveraging Gemini and Vertex AI for intelligent indexing Python coding to tie everything together Creating a page-by-page searchable index Free Trial - Our New Diagram Tool: https://softwaresim.com/pricing/ ("YOUTUBE24" for 25% Off) Demonstration Code and Diagram: https://github.com/nodematiclabs/inde... We'll index Bram Stoker's "Dracula" as an example, but this technique works for any PDF – from classic literature to technical documents. What You'll Learn: Setting up Document AI and Vertex AI Workbench Processing PDFs from Google Cloud Storage Text extraction and cleaning techniques Generating keywords with large language models Combining results into a usable index 0:00 Conceptual Overview 2:03 Book Selection 2:52 Document AI Setup 3:57 Python and Cloud Storage Bucket 4:47 Vertex AI Workbench (Jupyter) 7:00 Python Packages 7:24 Document Processing Code 11:45 Document Analysis 15:25 LLM Index Generation (via Gemini 1.5 Flash) 20:47 Synthesizing Index Results #googlecloud #ai