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Private Knowledge Assistant Prompts for Open Weight Models
Prompts for designing, testing, and governing private knowledge assistants for SMEs using open weight models.
Private Knowledge AssistantRAGOpen Weight ModelsSME Knowledge Management
Best For
SME operations teams, knowledge managers, IT leads, and support managers
Prompt Use Cases
- Knowledge assistant design
- RAG evaluation
- Document governance
- Employee self-service
- Internal support
Markdown Template
Private Knowledge Assistant Prompts for Open Weight Models
# Private Knowledge Assistant Prompts for Open Weight Models
**Knowledge Source Inventory**: Role: Knowledge management consultant. Task: Create an inventory plan for documents that should power a private AI assistant for [team]. Include source owner, sensitivity, update frequency, permission group, and whether the document is ready for indexing.
**RAG Answer Policy**: Role: AI policy designer. Task: Write answer rules for a retrieval-based knowledge assistant. The assistant must cite sources, refuse unsupported answers, avoid guessing, and escalate restricted topics. Output policy text plus 10 example responses.
**Evaluation Question Set**: Role: AI evaluator. Task: Generate 50 evaluation questions for a private knowledge assistant using [document categories]. Include expected answer type, required source, risk level, and pass criteria.
**Access Control Map**: Role: Security architect. Task: Map access controls for a private knowledge assistant used by [departments]. Output roles, allowed document collections, restricted topics, audit events, and admin workflows.
**Employee Launch Guide**: Role: Change management lead. Task: Create an employee launch guide for a private knowledge assistant. Include what it can answer, what it cannot answer, how to verify citations, and how to report bad answers.
**Bad Answer Review Template**: Role: AI quality manager. Task: Create a review template for failed knowledge assistant answers. Include question, retrieved source, generated answer, failure category, correct answer, root cause, and fix owner.
**Document Refresh Workflow**: Role: Operations designer. Task: Design a monthly document refresh workflow for an SME knowledge assistant. Include owners, approval steps, re-indexing trigger, regression tests, and communication to users.
**Model Selection for RAG**: Role: AI architect. Task: Compare open weight models for a private RAG assistant. Evaluate answer quality, citation behavior, latency, context length, cost, and deployment complexity for [company constraints].
**Citation Quality Scoring**: Role: AI evaluator. Task: Create a scoring rubric for citation quality in a knowledge assistant. Include source relevance, answer support, conflicting evidence, missing context, and user trust impact.
**Private Assistant Roadmap**: Role: Product manager. Task: Create a 90-day roadmap for a private knowledge assistant. Include MVP scope, pilot team, metrics, governance, feedback loop, and scale criteria.