


KC Fine-Grain Search™ (KCFGS) is a knowledge-based search algorithm that is fully integrated with KC Precision Search. While KC Precision Search returns the most relevant results from a multitude of documents, KC Fine-Grain Search conducts a fine-grain search to return the most relevant sentences within those results or within each document selected.
Conventional search engines often return a multitude of non-specific documents; the user must then scan each individual document to locate pertinent information. This process often takes a long time—especially when sifting through lengthy documents such as contracts and manuals.
However, KC Fine-Grain Search saves the user time and energy by conducting an intra-document search to locate specific, key information. For example, a user can use conversational English to describe the pertinent information he or she is looking for, or simply paste text from a document into the search request. KC Fine-Grain Search then performs a fine-grain, intra-document search and highlights the most relevant sections, sentences, paragraphs, sentences, phrases, or words within that document.
In addition to an intra-document search, the same Fine-Grain Search is performed with other documents simultaneously. Specific content from those documents is also highlighted. The user can then easily switch from one document to another for comparative purposes, or conduct another search for further, in-depth analysis.
