Leveraging MinIO and Apache Tika for Automated Text Extraction and Analysis

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Leveraging MinIO and Apache Tika for Automated Text Extraction and Analysis
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Discover how to leverage MinIO Bucket Notifications and Apache Tika for efficient text extraction and analysis in fine-tuning, LLM training, and RAG projects.

In this post, we will use MinIO Bucket Notifications and Apache Tika, for document text extraction, which is at the heart of critical downstream tasks like Large Language Model training and Retrieval Augmented Generation . The Premise Let’s say that I want to construct a dataset of text that I can then use to fine-tune an LLM. To do this, we first need to assemble various documents and extract the text from them.

py Tika-Python Tika-Python """ This is a simple Flask text extraction server that functions as a webhook service endpoint for PUT events in a MinIO bucket. Apache Tika is used to extract the text from the new objects.

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