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XUNYE Technology · CONTEXT & KNOWLEDGE

Context & Knowledge Systems

Every piece of work starts from what the company already knows.

Company material lives in documents, spreadsheets, project records, and people's experience. XUNYE organizes this information around business tasks, so AI can find the applicable material and follow the rules and judgments inside it.

How it runs

Material has provenance; judgments have conditions.

The knowledge base keeps reusable material; a task's context adds the current goal, the versions in force, the permitted scope, and the open questions. Organized together, material can enter real work.

How it runsIllustrative · configured per project
01

Business material

Documents · sheets · project records

02

Sort & verify

Source · version · owner

03

Task context

Goal · constraints · valid judgments

04

Write back

Archive after checking · update status

Confirmed results → back to the material and business position they came from

In practice

From sorting material to daily use.

Organization follows tasks, not an ideal taxonomy.

01

Separate uses of material

Raw data, operating notes, project status, and long-term methods are organized apart, each keeping a source and maintainer.

02

Keep the background of judgments

Beyond conclusions, record the conditions, confirmation, and later changes, so experience is reused in the right scenes.

03

Organize by task

Select what the current question needs; keep conflicts and gaps pending instead of drowning the task in noise.

04

Return results to daily work

Checked deliverables, feedback, and new rules go back where the business keeps them, ready for the next task.

A sample handoff

Material handed to AI carries its instructions.

A sample record shows how task basis, current status, and next responsibility hand over together.

Task recordExample / CONTEXT & KNOWLEDGE
Task
Draft the first pass of product Q&A
Sources
Spec sheet; approved support phrasing
Valid scope
Current product and sales stage; historical promo prices excluded
Open question
Two documents disagree on delivery time
Handling
Keep the difference for the operations owner
Written back
Approved Q&A joins product material; originals kept

Verification & boundaries

Traceable, or it will not last.

01

Citations return to sources

02

Version and validity explicit

03

Conflicts and gaps preserved

04

New conclusions confirmed

01

Material is not conclusion

Retrieved content is evidence. Drafts, confirmed conclusions, and outcomes are stored apart, so one round's guess does not become the next round's fact.

02

Updates have owners

Where material lives and who maintains it are fixed in implementation; when business phrasing changes, dependent Q&A, templates, and inputs are re-checked.

03

Access follows authorization

Tasks use only the agreed material. Cross-department data or new permissions are confirmed before connections widen.

FAQ

Mechanisms, conditions, and boundaries.

01

How is task context different from a knowledge base?

A knowledge base organizes long-lived material; task context adds what this task must achieve, current progress, constraints, and which judgments are confirmed. We organize both together, so the same material serves different tasks within its scope.

02

Does this mean building a knowledge graph?

Not necessarily. Classification, indexes, source links, and structured records often come first. Whether a dedicated graph database or heavier retrieval is needed depends on scale and query needs.

03

Which source wins when material conflicts?

First compare source, version, scope, and confirmation records. If the conflict stands, both pieces of evidence and the difference are kept for the business owner; unconfirmed content never becomes the new standard.

04

Can images, audio, and video enter the knowledge base?

Once usable material, parsing tools, and rights are clear. Transcribed or recognized content keeps its original source and is checked for parsing error; capabilities are configured per project.

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