PackagePublished package

@pasar6987/sf-service-knowledge

Name: Semantic model package @pasar6987/sf-service-knowledge
Creator: pasar6987

A self-service knowledge base powering article creation, versioning, categorization, feedback, and intelligent search.

OSISchema 0.1.1Domain crm Source developer.salesforce.com/docs/atlas.en-us.object_reference.meta/object_reference

Published package · Latest published 1.0.1 Mar 4, 2026 · 9 datasets / 14 measures in the latest review · Updated Mar 11, 2026

Release path

1.0.1Published Mar 4, 2026

Publisher

@pasar6987Published Mar 4, 2026

Structure snapshot

9 datasets14 measures · 150 dimensions

Semantic Graph

Relationship counts appear after the graph loads.

Loading graph

Package graph is loading

Package relationships will appear when the summary is ready.

Reference context

Secondary package facts stay compact

Updated: Mar 11, 2026
Visibility: Public hub listing
License: MIT
Created: Mar 4, 2026

Reference facts

Secondary package facts after the usage path is clear

Licensing, categorization, ownership, and linked metadata stay below the runnable path so the page reads in the right order.

Format

OSI

Upstream

developer.salesforce.com/docs/atlas.en-us.object_reference.meta/object_reference

Repository

Not linked

Domain

crm

Source

developer.salesforce.com/docs/atlas.en-us.object_reference.meta/object_reference

Owner

@pasar6987

Organization

Independent

License

MIT

Visibility

Public hub listing

Publisher

@pasar6987Published Mar 4, 2026

Latest published version

1.0.1Published Mar 4, 2026

Use this package in code and AI

After structure review, move straight into typed reads with load() or compact LLM context with to_prompt().

Python SDK

Python example for @pasar6987/sf-service-knowledge

This example uses the current package ref and, when preview data is available, fills in real dataset names from the published summary.

import rawctx

model = rawctx.load("@pasar6987/sf-service-knowledge")
prompt = rawctx.to_prompt(
    "@pasar6987/sf-service-knowledge",
    datasets=["KnowledgeArticle", "KnowledgeArticleFeedback"],
    max_tokens=2000,
)

print(model.datasets)        # ["KnowledgeArticle", "KnowledgeArticleFeedback", "KnowledgeArticleVersion"]
print(model.measures)        # [Measure(name="KnowledgeArticle.CaseAssociationCount", ...), Measure(name="KnowledgeArticle.TotalViewCount", ...), Measure(name="KnowledgeArticleVersion.ArticleCaseAttachCount", ...)]
print(model.dimensions)      # [Dimension(name="ArchivedById", ...), Dimension(name="ArchivedDate", ...), Dimension(name="ArticleNumber", ...)]
print(model.relationships)   # [Relationship(name='...', ...)]
print(prompt)

See Python docs

README

Package narrative and examples

Use documentation after the package clears provenance, ownership, and runnable-path checks.

@pasar6987/sf-service-knowledge

A self-service knowledge base powering article creation, versioning, categorization, feedback, and intelligent search.

Overview

	Count
Objects (Datasets)	9
Dimensions	150
Measures	14
Relationships	3

Objects

KnowledgeArticle — Provides read-only access to an article and the ability to delete the primary article.
KnowledgeArticleFeedback — Represents information about feedback from users on Knowledge articles and details about assignment of feedback to the article owner or team to take action.
KnowledgeArticleVersion — Provides a global view of standard article fields across all types of articles depending on their version.
KnowledgeArticleViewStat — Provides certain statistics related to the number of views for the specified article across all article types.
KnowledgeArticleVoteStat — Provides the weighted rating for the specified article on a scale of 1 to 5 across all article types.
Knowledge__DataCategorySelection — Represents a data category that classifies an article
Knowledge__ka — Provides access to the concrete object that represents a Knowledge article, the parent object for article versions.
Knowledge__kav — Provides access to the concrete object that represents a Knowledge article version.
KnowledgeableUser — Represents a user identified as knowledgeable about a specific topic, and ranks them relative to other knowledgeable users.

Install

rawctx snapshot-download @pasar6987/sf-service-knowledge

Structure review

Inspect package structure after the usage path is clear

Use the structural review when you need the package footprint, field counts, and model paths before a deeper explorer pass.

Models1

datasets9

measures14

dimensions150

relationships3

AI context1

models/sf-service-knowledge.osi.yamlAI context included

9 datasets14 measures150 dimensions3 relationships