by lucent | Sep 27, 2026 | Optimization, Retrieval |
Hybrid retrieval combines lexical search, which pays close attention to words and terms, with semantic or vector search, which looks for similarity in meaning. Each method reveals a different part of a corpus. Used together, they can retrieve candidates that either...
by lucent | Sep 25, 2026 | Math, Optimization, Retrieval |
Vector similarity is a way to estimate how closely two numerical representations resemble one another. In search and AI systems, those numerical representations often encode text, images, audio, products, users, or other entities as vectors. When two vectors are near...
by lucent | Sep 20, 2026 | Math, Optimization, Retrieval |
Cosine similarity measures how closely two nonzero vectors point in the same direction. It compares their orientation rather than their length, producing a score between −1 and 1. In text retrieval, those vectors often represent a search query and a passage of text....
by lucent | Sep 14, 2026 | Optimization, Retrieval |
Imagine asking an AI assistant to compare two ways of moving a website to a replacement platform: a phased migration, in which defined parts of the site move in stages, and a coordinated cutover, in which the in-scope site switches during a planned transition window....
by lucent | Sep 10, 2026 | Optimization, Retrieval, Workflow |
Responsible AI-assisted writing is the use of artificial intelligence to support research, drafting, editing, and content organization while keeping human judgment and accountability at the center of the work. AI systems can help writers explore ideas, clarify...
by lucent | Sep 10, 2026 | Governance, Information Architecture, Optimization, Retrieval, Workflow |
Workflow architecture is the deliberate design of how work, information, decisions, and responsibility move from initiation to completion. It considers the full process rather than treating each task as an isolated activity. Every recurring process has an...
