feat: Phase 3 — RAG-Anbindung fuer alle 18 Dokumenttypen + Vendor Contract Review
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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>
This commit is contained in:
Benjamin Admin
2026-03-02 10:10:32 +01:00
parent d9f819e5be
commit cd15ab0932
9 changed files with 469 additions and 57 deletions

View File

@@ -32,6 +32,7 @@ import { terminologyToPromptString, styleContractToPromptString } from '@/lib/sd
import { executeRepairLoop, type ProseBlockOutput, type RepairAudit } from '@/lib/sdk/drafting-engine/prose-validator'
import { ProseCacheManager, computeChecksumSync, type CacheKeyParams } from '@/lib/sdk/drafting-engine/cache'
import { queryRAG } from '@/lib/sdk/drafting-engine/rag-query'
import { DOCUMENT_RAG_CONFIG } from '@/lib/sdk/drafting-engine/rag-config'
// ============================================================================
// Shared State
@@ -104,11 +105,9 @@ async function handleV1Draft(body: Record<string, unknown>): Promise<NextRespons
}, { status: 403 })
}
// RAG: Fetch relevant legal context
const ragQuery = documentType === 'dsfa'
? 'Datenschutz-Folgenabschaetzung Art. 35 DSGVO Risikobewertung'
: `${documentType} DSGVO Compliance Anforderungen`
const ragContext = await queryRAG(ragQuery)
// RAG: Fetch relevant legal context (config-based)
const ragCfg = DOCUMENT_RAG_CONFIG[documentType]
const ragContext = await queryRAG(ragCfg.query, 3, ragCfg.collection)
let v1SystemPrompt = V1_SYSTEM_PROMPT
if (ragContext) {
@@ -380,11 +379,9 @@ async function handleV2Draft(body: Record<string, unknown>): Promise<NextRespons
// Compute prompt hash for audit
const promptHash = computeChecksumSync({ factsString, tagsString, termsString, styleString, disallowedString })
// Step 5b: RAG Legal Context
const v2RagQuery = documentType === 'dsfa'
? 'DSFA Art. 35 DSGVO Risikobewertung Massnahmen Datenschutz-Folgenabschaetzung'
: `${documentType} DSGVO Compliance`
const v2RagContext = await queryRAG(v2RagQuery)
// Step 5b: RAG Legal Context (config-based)
const v2RagCfg = DOCUMENT_RAG_CONFIG[documentType]
const v2RagContext = await queryRAG(v2RagCfg.query, 3, v2RagCfg.collection)
// Step 6: Generate Prose Blocks (with cache + repair loop)
const proseBlocks = DOCUMENT_PROSE_BLOCKS[documentType] || DOCUMENT_PROSE_BLOCKS.tom