Summarize Hundreds of PDFs with Local AI Python Automation (Ollama + Gemma 3)

This video demonstrates how to batch summarize hundreds of PDFs using a local Python script with Ollama and Google's Gemma 3 model running on your own computer. Learn how to process documents on your own machine without API keys or subscriptions.

We'll walk through the use cases, setup, and code for generating summaries or even extracting structured data. This is ideal for students, researchers, and analysts looking to streamline their workflow, or anyone else looking to comprehensively summarize lots of text or pdf documents.

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**Full Code**
https://deepcharts.substack.com/p/summarize-hundreds-of-pdfs-with-local

**Resources**
Ollama: https://ollama.com/
Gemma 3: https://blog.google/technology/developers/gemma-3/
Sentence Transformers: https://sbert.net/
RAG info: https://www.pinecone.io/learn/retrieval-augmented-generation/

**Chapters**
0:00 Batch Summarizing Multiple PDF Files with Ollama and Python Demo
0:41 AI Tech Stack (Ollama and Google Gemma 3)
1:13 How to download and install Gemma 3 and Ollama
1:42 Setting up the folder structure
2:02 Setting up the Python Conda Environment
2:48 Code Walkthrough - Functions
4:02 RAG functions
6:39 Setting up the Main function in Python
7:55 Running the batch PDF summarization script

Видео Summarize Hundreds of PDFs with Local AI Python Automation (Ollama + Gemma 3) канала Deep Charts