What method should be used to update the index to reflect new text after poor-quality OCR has been overlaid?

Running a full build of the index is the appropriate method to update the index to reflect new text after poor-quality OCR has been overlaid. This approach ensures that the entire index is rebuilt from scratch, which is essential when significant changes or corrections—such as the integration of accurate text derived from OCR—are needed.

When poor-quality OCR has been used, the result is often a misrepresentation of the original text, leading to inaccuracies in the indexed data. A full rebuild allows the system to fully integrate the corrected text, eliminating any remnants or errors from the previous indexing process. This comprehensive analysis helps to ensure that all documents are accurately represented and that the index is optimized for search and retrieval.

While incremental builds can be useful for making smaller updates without the need to rebuild everything, they may not adequately address the level of correction necessary in cases where the quality of the OCR input is poor. Similarly, the introduction of new content filters or clustering documents does not address the fundamental issue of updating the index with accurate text. Consequently, a full build is the most effective and reliable method for resolving this specific challenge.