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22min chapter
Unstructured Data and LLMs with Crag Wolfe and Matt Robinson
Software Engineering Daily
Enhancing Information Retrieval with Structured Data Processing
The chapter discusses challenges faced by businesses in extracting information from unstructured textual data for language models, emphasizing the importance of structuring data through steps like cleaning and summarizing. It explores various chunking strategies to improve language model results, highlighting the impact of long context windows on document ranking and retrieval efficiency. Furthermore, it addresses the evolution of technology solutions for handling diverse document types and the importance of automated tools in streamlining data processing pipelines.
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