Laurian/context-compression-experiments-2508
prompt engineering experiments with DSPy GEPA and TextGrad
This project helps anyone working with large knowledge bases or documents quickly pinpoint the most important information relevant to a specific question. It takes in a document and a query, then intelligently extracts only the exact text segments that directly answer the query, without summarizing or changing them. This is ideal for researchers, analysts, or customer support teams who need precise information from extensive internal documentation.
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Use this if you need to extract precise, unedited snippets from long documents that are directly relevant to a specific query, especially when using an AI model that might otherwise struggle with context compression.
Not ideal if you need a summary of a document, if you require paraphrased answers, or if your queries are very broad and require synthesizing information from across many documents.
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Sep 02, 2025
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