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PDFs to Intelligence: How To Auto-Extract Python Manual Knowledge Recursively Using Ollama, LLMs
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This story was originally published on HackerNoon at: https://hackernoon.com/pdfs-to-intelligence-how-to-auto-extract-python-manual-knowledge-recursively-using-ollama-llms.
Learn how to automate extraction of structured Python module data from PDFs using CocoIndex, LLMs like Llama3, and Ollama. Scale technical documentation by buil
Check more stories related to tech-stories at: https://hackernoon.com/c/tech-stories. You can also check exclusive content about #ai-data-extraction, #ollama, #llms, #cocoindex, #pdf-documentation, #extraction-pipeline, #python, #cocoinsight, and more.
This story was written by: @badmonster0. Learn more about this writer by checking @badmonster0's about page, and for more stories, please visit hackernoon.com.
We’ll demonstrate an end-to-end data extraction pipeline engineered for maximum automation, reproducibility, and technical rigor. Our goal is to transform unstructured PDF documentation into precise, structured, and queryable tables. We use the open-source [CocoIndex framework] and state-of-the-art LLMs (like Meta’s Llama 3) managed locally by Ollama.
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