Using Smart Data Extraction to Augment Contextual LLM Queries - View the Python Guide

This guide discusses how to use the Apryse Data Extraction Module to enhance Large Language Model (LLM) performance and scope by providing structured data from a document collection as context. This allows developers to build AI applications that integrate with private documents (for example, using Retrieval Augmented Generation).

Currently, this guide is only available in Python on Windows or Linux.

While not available in other languages, the content discussed in the guide is applicable across languages and could be adapted to the language of your choosing. Please visit Using Smart Data Extraction to Augment Contextual LLM Queries to read further.