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Migrate queryRAG from klausur-service GET to bp-core-rag-service POST with multi-collection support. Each of the 18 ScopeDocumentType now gets a type-specific RAG collection and optimized search query instead of the generic fallback. Vendor-compliance contract review now uses LLM + RAG for real analysis with mock fallback on error. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
52 lines
1.5 KiB
TypeScript
52 lines
1.5 KiB
TypeScript
/**
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* Shared RAG query utility for the Drafting Engine.
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*
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* Queries the bp-core-rag-service for relevant legal context.
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* Supports multi-collection search via POST /api/v1/search.
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* Used by both chat and draft routes.
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*/
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const RAG_SERVICE_URL = process.env.RAG_SERVICE_URL || 'http://bp-core-rag-service:8097'
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/**
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* Query the RAG corpus for relevant legal documents.
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*
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* @param query - The search query (e.g. "Art. 35 DSGVO Risikobewertung")
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* @param topK - Number of results to return (default: 3)
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* @param collection - Optional RAG collection name (e.g. "bp_dsfa_corpus")
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* @returns Formatted string of legal context, or empty string on error
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*/
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export async function queryRAG(query: string, topK = 3, collection?: string): Promise<string> {
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try {
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const body: Record<string, unknown> = {
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query,
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top_k: topK,
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}
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if (collection) {
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body.collection = collection
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}
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const res = await fetch(`${RAG_SERVICE_URL}/api/v1/search`, {
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method: 'POST',
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headers: { 'Content-Type': 'application/json' },
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body: JSON.stringify(body),
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signal: AbortSignal.timeout(10000),
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})
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if (!res.ok) return ''
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const data = await res.json()
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if (data.results?.length > 0) {
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return data.results
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.map(
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(r: { source_name?: string; source_code?: string; content?: string }, i: number) =>
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`[Quelle ${i + 1}: ${r.source_name || r.source_code || 'Unbekannt'}]\n${r.content || ''}`
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)
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.join('\n\n---\n\n')
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}
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return ''
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} catch {
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return ''
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}
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}
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