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High Agency: The Podcast for AI Builders
Raptor Paper: Better Information Retrieval with chunking
The Raptor paper introduces a method to enhance text retrieval by chunking the text into clusters and generating synthetic summaries. By organizing information into clusters and creating summaries, the text becomes more manageable for search purposes. This approach helps in efficiently handling a large volume of information such as organizing topics in multiple PDFs into core ideas. By focusing on the quality of clustering and summarization, this method simplifies information retrieval. The concept of summarization as an index and key improves retrieval efficiency by allowing faster lookups similar to setting a primary key in a database.
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