DataHour: Building Efficient RAG Systems with LlamaParse and LlamaIndex
DataHour: Building Efficient RAG Systems with LlamaParse and LlamaIndex
18 Apr 202413:04pm - 18 Apr 202413:04pm
DataHour: Building Efficient RAG Systems with LlamaParse and LlamaIndex
About the Event
In this talk, we will explore LlamaParse, a state-of-the-art parser that enhances the application of Retrieval-Augmented Generation (RAG) on complex PDF documents. LlamaParse is specially designed to handle intricate PDFs containing embedded tables, enabling a level of data extraction and structuring previously unattainable with conventional methods.
We will delve into how LlamaParse addresses the challenges of parsing complex documents into well-structured markdown, facilitating advanced Markdown parsing and recursive retrieval algorithms that enhance the performance of RAG applications. The discussion will cover the significance of LlamaParse in enabling accurate, efficient, and deep analysis of a wide array of documents, from academic papers to financial reports.
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- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
Who is this DataHour for?
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
About the Speaker
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