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Deduplication: Identifying and Managing Duplicate Information

Deduplication: Identifying and Managing Duplicate Information

by lucent | Aug 4, 2026 | Information Architecture, Optimization, Retrieval, Workflow | 0 comments

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...
Understanding Embeddings: How AI Systems Represent Meaning

Understanding Embeddings: How AI Systems Represent Meaning

by lucent | Aug 4, 2026 | Information Architecture, Optimization, Retrieval, Workflow | 0 comments

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...
Understanding Vector Search: How AI Systems Find Related Information

Understanding Vector Search: How AI Systems Find Related Information

by lucent | Aug 4, 2026 | Information Architecture, Optimization, Retrieval, Workflow | 1 comment

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...
When More Context Can Make AI Responses Degrade

When More Context Can Make AI Responses Degrade

by lucent | Aug 4, 2026 | Information Architecture, Optimization, Retrieval, Workflow | 1 comment

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 It can also reduce response quality when it introduces conflicting directions, outdated information, repetition, or material unrelated to the current...
Graduated Context Assembly and Context Depth

Graduated Context Assembly and Context Depth

by lucent | Aug 3, 2026 | Governance, Information Architecture, Optimization, Retrieval, Workflow | 0 comments

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...
Context Windows and Token Budgets: Managing an AI System’s Working Space

Context Windows and Token Budgets: Managing an AI System’s Working Space

by lucent | Aug 2, 2026 | Governance, Information Architecture, Retrieval, Workflow | 0 comments

A context window is the working space available to an AI system during a conversation or workflow. It may contain instructions, messages, retrieved documents, tool results, examples, and other information needed for the current task. A token budget describes how much...
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