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Clear guides for designing useful retrieval, grounded AI experiences, source-aware answers, and reusable knowledge infrastructure.
Knowledge library
Use these concise explainers to frame enterprise knowledge projects, evaluation criteria, and technical conversations.
How retrieval, ranking, context assembly, and generation work together around organizational information.
Read the briefWhy knowledge access needs to carry source and workspace boundaries into every query.
Read the briefA practical framework for relevance, source quality, retrieval coverage, and user trust.
Read the briefHow provenance helps users verify an answer and return to the original organizational knowledge.
Read the briefWhat to examine across source quality, ownership, permissions, metadata, and update frequency.
Read the briefPatterns for bringing retrieval into assistants, agents, applications, and internal workflows.
Read the briefArchitecture guide
How retrieval, ranking, context assembly, and generation work together around organizational information.
A reliable enterprise retrieval flow begins with source selection and parsing, then combines semantic search, metadata filters, ranking, and context assembly before an AI model generates a response. Evaluation should examine each stage independently.
Security brief
Why knowledge access needs to carry source and workspace boundaries into every query.
Access is part of retrieval quality. A result is only useful when the requester is authorized to see it, and the system can preserve the organizational boundaries attached to the underlying source.
Evaluation guide
A practical framework for relevance, source quality, retrieval coverage, and user trust.
Good evaluation uses real organizational questions, known source material, difficult edge cases, and judgments from the teams who understand the domain. Relevance should be measured alongside coverage and provenance.
Product principle
How provenance helps users verify an answer and return to the original organizational knowledge.
A citation turns an answer into a navigable knowledge experience. It lets users inspect the supporting passage, understand its context, and decide whether the source is current and authoritative.
Planning guide
What to examine across source quality, ownership, permissions, metadata, and update frequency.
Knowledge readiness starts with ownership. Teams should understand which sources are authoritative, how often they change, who can access them, what metadata exists, and which content should stay out of the retrieval layer.
Developer brief
Patterns for bringing retrieval into assistants, agents, applications, and internal workflows.
A retrieval API can separate knowledge infrastructure from the interface that consumes it. Search, assistants, agents, and workflow tools can reuse the same source-aware context while presenting it in different product experiences.
Put the framework to work