by lucent | Aug 4, 2026 | Information Architecture, Optimization, Retrieval, Workflow |
Deduplication is the practice of identifying information that is identical or substantially equivalent and deciding how its different representations should be managed. Although deduplication can reduce storage use, its broader purpose is to help systems distinguish...
by lucent | Aug 4, 2026 | Information Architecture, Optimization, Retrieval, Workflow |
Embeddings are mathematical representations that help computer systems compare words, passages, documents, images, and other forms of information. Instead of relying only on exact matches, an embedding system can identify items that are related in meaning, purpose, or...
by lucent | Aug 4, 2026 | Information Architecture, Optimization, Retrieval, Workflow |
Vector search is a method for finding information based on semantic similarity rather than exact wording alone. It helps retrieval systems recognize that two passages may be closely related even when they use different words. Traditional keyword search often begins by...
by lucent | Aug 4, 2026 | Information Architecture, Optimization, Retrieval, Workflow |
More context can improve an AI response when it supplies relevant facts, necessary instructions, or useful examples. It can also reduce response quality when it introduces conflicting directions, outdated information, repetition, or material unrelated to the current...
by lucent | Aug 3, 2026 | HTML, Program, Retrieval |
Tokenization is the process of dividing information into smaller units that a system can identify and work with. Those units may be words, parts of words, punctuation marks, programming symbols, HTML tags, search terms, or other structures suited to a particular task....
by lucent | Aug 3, 2026 | Information Architecture, Optimization, Retrieval, Workflow |
Graduated context assembly is a practical method for matching the amount of surrounding information to the work being performed. Rather than treating context as either absent or fully assembled, it uses several levels of contextual depth. The central principle is...
