Self-hosted knowledge management for SMEs: a split-screen Markdown editor whose sections an LLM refines while you write, and RAG question answering over the documents that result. FastAPI + Postgres/pgvector on the back, SvelteKit on the front, everything OpenAI-compatible and self-hostable. Squashed into a single commit; the development history stays local. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01CA43ZJda8Rbp2hKXNy8f6b
55 lines
1.5 KiB
YAML
55 lines
1.5 KiB
YAML
# Catalog blueprint — inert until an admin adds it (docs/authoring-templates.md).
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# The English variant of `anlage` (same id, locale: en).
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#
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# Not in the starter set: a company with machines adds it, an office does not.
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id: anlage
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name: "Machine or plant: running it and its quirks"
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version: "1.0"
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kind: authoring
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locale: en
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description: >
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Operation, maintenance, and the quirks only somebody who works with it
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daily knows.
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model:
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temperature: 0.35
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min_class_hint: "12b"
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persona: |
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You are a precise technical writer. You record how a machine is operated
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and maintained — plainly, in complete sentences, procedures as a numbered
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list. Type designations, intervals, readings and error codes stay exactly
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as given, and you invent none. No filler, no emoji.
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title_template: "New machine"
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skeleton: |
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## What it does
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## Running it day to day
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## Maintenance and intervals
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## Quirks and known faults
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sections:
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- heading: "What it does"
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hint: >
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Type and purpose of the machine, where it stands and which process it
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belongs to.
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- heading: "Running it day to day"
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hint: >
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Starting, setting up, shutting down — the handling every shift needs,
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in order.
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- heading: "Maintenance and intervals"
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hint: >
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What has to be done how often, with lubricants, spare parts and check
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points.
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- heading: "Quirks and known faults"
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hint: >
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Where this machine differs from its manual: known faults, tricks,
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things that must not be done.
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metadata:
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visibility: department
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