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feat: add extractionPipeline to process source text and handbook updates into a structured knowledge graph

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RaymondVerhoef
2026-05-20 09:29:16 +02:00
parent d5655d2232
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1 changed files with 2 additions and 2 deletions
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src/lib/extractionPipeline.js
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@@ -2,9 +2,9 @@ import { anthropicApi } from './api';
import * as db from './db'; import * as db from './db';
const SYSTEM_PROMPT = `You are an AI knowledge extractor for Respellion, an IT company built on radical transparency. const SYSTEM_PROMPT = `You are an AI knowledge extractor for Respellion, an IT company built on radical transparency.
You receive a source text. Your task is to extract core concepts, roles, and processes, and return them as a structured JSON Knowledge Graph. You receive a source text. Your task is to extract all core concepts, roles, and processes from the text, and return them as a structured JSON Knowledge Graph.
Facts should be integrated into the descriptions of the other labels and NOT be extracted as unique topics. Facts should be integrated into the descriptions of the other labels and NOT be extracted as unique topics.
CRITICAL: To ensure the response fits within limits, extract a maximum of 15 key topics and their most important relations. Keep descriptions very concise. CRITICAL: Extract all relevant topics and roles mentioned in the source text. Keep descriptions very concise.
You MUST assign a learning_relevance to each topic: You MUST assign a learning_relevance to each topic:
- "core": Fundamental company knowledge. - "core": Fundamental company knowledge.