feat(rag): connect bp_compliance_ce vector corpus to SDK
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- Switch LegalRAGClient from empty bp_legal_corpus to bp_compliance_ce
  collection (3,734 chunks across 14 regulations)
- Replace embedding-service (384-dim MiniLM) with Ollama bge-m3 (1024-dim)
- Add standalone RAG search endpoint: POST /sdk/v1/rag/search
- Add regulations list endpoint: GET /sdk/v1/rag/regulations
- Add QDRANT_HOST/PORT env vars to docker-compose.yml
- Update regulation ID mapping to match actual Qdrant payload schema
- Update determineRelevantRegulations for CE corpus regulation IDs

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
Benjamin Boenisch
2026-02-17 23:44:47 +01:00
parent ec1575fc56
commit 899e22a31b
4 changed files with 260 additions and 92 deletions

View File

@@ -135,6 +135,10 @@ func main() {
ttsClient := training.NewTTSClient(cfg.TTSServiceURL)
contentGenerator := training.NewContentGenerator(providerRegistry, piiDetector, trainingStore, ttsClient)
trainingHandlers := handlers.NewTrainingHandlers(trainingStore, contentGenerator)
// Initialize RAG handlers
ragHandlers := handlers.NewRAGHandlers()
// Initialize middleware
rbacMiddleware := rbac.NewMiddleware(rbacService, policyEngine)
@@ -743,6 +747,13 @@ func main() {
trainingRoutes.GET("/stats", trainingHandlers.GetStats)
trainingRoutes.GET("/certificates/:id/verify", trainingHandlers.VerifyCertificate)
}
// RAG Search routes - Compliance Regulation Corpus
ragRoutes := v1.Group("/rag")
{
ragRoutes.POST("/search", ragHandlers.Search)
ragRoutes.GET("/regulations", ragHandlers.ListRegulations)
}
}
// Create HTTP server

View File

@@ -0,0 +1,76 @@
package handlers
import (
"net/http"
"github.com/breakpilot/ai-compliance-sdk/internal/ucca"
"github.com/gin-gonic/gin"
)
// RAGHandlers handles RAG search API endpoints.
type RAGHandlers struct {
ragClient *ucca.LegalRAGClient
}
// NewRAGHandlers creates new RAG handlers.
func NewRAGHandlers() *RAGHandlers {
return &RAGHandlers{
ragClient: ucca.NewLegalRAGClient(),
}
}
// SearchRequest represents a RAG search request.
type SearchRequest struct {
Query string `json:"query" binding:"required"`
Regulations []string `json:"regulations,omitempty"`
TopK int `json:"top_k,omitempty"`
}
// Search performs a semantic search across the compliance regulation corpus.
// POST /sdk/v1/rag/search
func (h *RAGHandlers) Search(c *gin.Context) {
var req SearchRequest
if err := c.ShouldBindJSON(&req); err != nil {
c.JSON(http.StatusBadRequest, gin.H{"error": err.Error()})
return
}
if req.TopK <= 0 || req.TopK > 20 {
req.TopK = 5
}
results, err := h.ragClient.Search(c.Request.Context(), req.Query, req.Regulations, req.TopK)
if err != nil {
c.JSON(http.StatusInternalServerError, gin.H{"error": "RAG search failed: " + err.Error()})
return
}
c.JSON(http.StatusOK, gin.H{
"query": req.Query,
"results": results,
"count": len(results),
})
}
// ListRegulations returns the list of available regulations in the corpus.
// GET /sdk/v1/rag/regulations
func (h *RAGHandlers) ListRegulations(c *gin.Context) {
regs := h.ragClient.ListAvailableRegulations()
// Optionally filter by category
category := c.Query("category")
if category != "" {
filtered := make([]ucca.CERegulationInfo, 0)
for _, r := range regs {
if r.Category == category {
filtered = append(filtered, r)
}
}
regs = filtered
}
c.JSON(http.StatusOK, gin.H{
"regulations": regs,
"count": len(regs),
})
}

View File

@@ -12,22 +12,26 @@ import (
"time"
)
// LegalRAGClient provides access to the legal corpus vector search.
// LegalRAGClient provides access to the compliance CE vector search via Qdrant + Ollama bge-m3.
type LegalRAGClient struct {
qdrantHost string
qdrantPort string
embeddingURL string
ollamaURL string
embeddingModel string
collection string
httpClient *http.Client
}
// LegalSearchResult represents a single search result from the legal corpus.
// LegalSearchResult represents a single search result from the compliance corpus.
type LegalSearchResult struct {
Text string `json:"text"`
RegulationCode string `json:"regulation_code"`
RegulationName string `json:"regulation_name"`
RegulationShort string `json:"regulation_short"`
Category string `json:"category"`
Article string `json:"article,omitempty"`
Paragraph string `json:"paragraph,omitempty"`
Pages []int `json:"pages,omitempty"`
SourceURL string `json:"source_url"`
Score float64 `json:"score"`
}
@@ -41,7 +45,16 @@ type LegalContext struct {
GeneratedAt time.Time `json:"generated_at"`
}
// NewLegalRAGClient creates a new Legal RAG client.
// RegulationInfo describes an available regulation in the corpus.
type CERegulationInfo struct {
ID string `json:"id"`
NameDE string `json:"name_de"`
NameEN string `json:"name_en"`
Short string `json:"short"`
Category string `json:"category"`
}
// NewLegalRAGClient creates a new Legal RAG client using Ollama bge-m3 embeddings.
func NewLegalRAGClient() *LegalRAGClient {
qdrantHost := os.Getenv("QDRANT_HOST")
if qdrantHost == "" {
@@ -53,25 +66,32 @@ func NewLegalRAGClient() *LegalRAGClient {
qdrantPort = "6333"
}
embeddingURL := os.Getenv("EMBEDDING_SERVICE_URL")
if embeddingURL == "" {
embeddingURL = "http://localhost:8087"
ollamaURL := os.Getenv("OLLAMA_URL")
if ollamaURL == "" {
ollamaURL = "http://localhost:11434"
}
return &LegalRAGClient{
qdrantHost: qdrantHost,
qdrantPort: qdrantPort,
embeddingURL: embeddingURL,
collection: "bp_legal_corpus",
ollamaURL: ollamaURL,
embeddingModel: "bge-m3",
collection: "bp_compliance_ce",
httpClient: &http.Client{
Timeout: 30 * time.Second,
Timeout: 60 * time.Second,
},
}
}
// embeddingResponse from the embedding service.
type embeddingResponse struct {
Embeddings [][]float64 `json:"embeddings"`
// ollamaEmbeddingRequest for Ollama embedding API.
type ollamaEmbeddingRequest struct {
Model string `json:"model"`
Prompt string `json:"prompt"`
}
// ollamaEmbeddingResponse from Ollama embedding API.
type ollamaEmbeddingResponse struct {
Embedding []float64 `json:"embedding"`
}
// qdrantSearchRequest for Qdrant REST API.
@@ -102,15 +122,21 @@ type qdrantSearchResponse struct {
}
type qdrantSearchHit struct {
ID string `json:"id"`
ID interface{} `json:"id"`
Score float64 `json:"score"`
Payload map[string]interface{} `json:"payload"`
}
// generateEmbedding calls the embedding service to get a vector for the query.
// generateEmbedding calls Ollama bge-m3 to get a 1024-dim vector for the query.
func (c *LegalRAGClient) generateEmbedding(ctx context.Context, text string) ([]float64, error) {
reqBody := map[string]interface{}{
"texts": []string{text},
// Truncate to 2000 chars for bge-m3
if len(text) > 2000 {
text = text[:2000]
}
reqBody := ollamaEmbeddingRequest{
Model: c.embeddingModel,
Prompt: text,
}
jsonBody, err := json.Marshal(reqBody)
@@ -118,7 +144,7 @@ func (c *LegalRAGClient) generateEmbedding(ctx context.Context, text string) ([]
return nil, fmt.Errorf("failed to marshal embedding request: %w", err)
}
req, err := http.NewRequestWithContext(ctx, "POST", c.embeddingURL+"/embed", bytes.NewReader(jsonBody))
req, err := http.NewRequestWithContext(ctx, "POST", c.ollamaURL+"/api/embeddings", bytes.NewReader(jsonBody))
if err != nil {
return nil, fmt.Errorf("failed to create embedding request: %w", err)
}
@@ -132,24 +158,24 @@ func (c *LegalRAGClient) generateEmbedding(ctx context.Context, text string) ([]
if resp.StatusCode != http.StatusOK {
body, _ := io.ReadAll(resp.Body)
return nil, fmt.Errorf("embedding service returned %d: %s", resp.StatusCode, string(body))
return nil, fmt.Errorf("ollama returned %d: %s", resp.StatusCode, string(body))
}
var embResp embeddingResponse
var embResp ollamaEmbeddingResponse
if err := json.NewDecoder(resp.Body).Decode(&embResp); err != nil {
return nil, fmt.Errorf("failed to decode embedding response: %w", err)
}
if len(embResp.Embeddings) == 0 {
return nil, fmt.Errorf("no embeddings returned")
if len(embResp.Embedding) == 0 {
return nil, fmt.Errorf("no embedding returned from ollama")
}
return embResp.Embeddings[0], nil
return embResp.Embedding, nil
}
// Search queries the legal corpus for relevant passages.
func (c *LegalRAGClient) Search(ctx context.Context, query string, regulationCodes []string, topK int) ([]LegalSearchResult, error) {
// Generate query embedding
// Search queries the compliance CE corpus for relevant passages.
func (c *LegalRAGClient) Search(ctx context.Context, query string, regulationIDs []string, topK int) ([]LegalSearchResult, error) {
// Generate query embedding via Ollama bge-m3
embedding, err := c.generateEmbedding(ctx, query)
if err != nil {
return nil, fmt.Errorf("failed to generate embedding: %w", err)
@@ -163,12 +189,12 @@ func (c *LegalRAGClient) Search(ctx context.Context, query string, regulationCod
}
// Add filter for specific regulations if provided
if len(regulationCodes) > 0 {
conditions := make([]qdrantCondition, len(regulationCodes))
for i, code := range regulationCodes {
if len(regulationIDs) > 0 {
conditions := make([]qdrantCondition, len(regulationIDs))
for i, regID := range regulationIDs {
conditions[i] = qdrantCondition{
Key: "regulation_code",
Match: qdrantMatch{Value: code},
Key: "regulation_id",
Match: qdrantMatch{Value: regID},
}
}
searchReq.Filter = &qdrantFilter{Should: conditions}
@@ -203,16 +229,17 @@ func (c *LegalRAGClient) Search(ctx context.Context, query string, regulationCod
return nil, fmt.Errorf("failed to decode search response: %w", err)
}
// Convert to results
// Convert to results using bp_compliance_ce payload schema
results := make([]LegalSearchResult, len(searchResp.Result))
for i, hit := range searchResp.Result {
results[i] = LegalSearchResult{
Text: getString(hit.Payload, "text"),
RegulationCode: getString(hit.Payload, "regulation_code"),
RegulationName: getString(hit.Payload, "regulation_name"),
Article: getString(hit.Payload, "article"),
Paragraph: getString(hit.Payload, "paragraph"),
SourceURL: getString(hit.Payload, "source_url"),
Text: getString(hit.Payload, "chunk_text"),
RegulationCode: getString(hit.Payload, "regulation_id"),
RegulationName: getString(hit.Payload, "regulation_name_de"),
RegulationShort: getString(hit.Payload, "regulation_short"),
Category: getString(hit.Payload, "category"),
Pages: getIntSlice(hit.Payload, "pages"),
SourceURL: getString(hit.Payload, "source"),
Score: hit.Score,
}
}
@@ -267,36 +294,34 @@ func (c *LegalRAGClient) GetLegalContextForAssessment(ctx context.Context, asses
}
// Determine which regulations to search based on triggered rules
regulationCodes := c.determineRelevantRegulations(assessment)
regulationIDs := c.determineRelevantRegulations(assessment)
// Search legal corpus
results, err := c.Search(ctx, query, regulationCodes, 5)
// Search compliance corpus
results, err := c.Search(ctx, query, regulationIDs, 5)
if err != nil {
return nil, err
}
// Extract unique articles and regulations
articleSet := make(map[string]bool)
// Extract unique regulations
regSet := make(map[string]bool)
for _, r := range results {
if r.Article != "" {
key := fmt.Sprintf("%s Art. %s", r.RegulationCode, r.Article)
articleSet[key] = true
}
regSet[r.RegulationCode] = true
}
articles := make([]string, 0, len(articleSet))
for a := range articleSet {
articles = append(articles, a)
}
regulations := make([]string, 0, len(regSet))
for r := range regSet {
regulations = append(regulations, r)
}
// Build relevant articles from page references
articles := make([]string, 0)
for _, r := range results {
if len(r.Pages) > 0 {
key := fmt.Sprintf("%s S. %v", r.RegulationShort, r.Pages)
articles = append(articles, key)
}
}
return &LegalContext{
Query: query,
Results: results,
@@ -308,38 +333,77 @@ func (c *LegalRAGClient) GetLegalContextForAssessment(ctx context.Context, asses
// determineRelevantRegulations determines which regulations to search based on the assessment.
func (c *LegalRAGClient) determineRelevantRegulations(assessment *Assessment) []string {
codes := []string{"GDPR"} // Always include GDPR
ids := []string{"eu_2016_679"} // Always include GDPR
// Check triggered rules for regulation hints
for _, rule := range assessment.TriggeredRules {
gdprRef := rule.GDPRRef
if strings.Contains(gdprRef, "AI Act") || strings.Contains(gdprRef, "KI-VO") {
codes = append(codes, "AIACT")
if !contains(ids, "eu_2024_1689") {
ids = append(ids, "eu_2024_1689")
}
}
if strings.Contains(gdprRef, "NIS2") || strings.Contains(gdprRef, "NIS-2") {
if !contains(ids, "eu_2022_2555") {
ids = append(ids, "eu_2022_2555")
}
}
if strings.Contains(gdprRef, "CRA") || strings.Contains(gdprRef, "Cyber Resilience") {
if !contains(ids, "eu_2024_2847") {
ids = append(ids, "eu_2024_2847")
}
}
if strings.Contains(gdprRef, "Maschinenverordnung") || strings.Contains(gdprRef, "Machinery") {
if !contains(ids, "eu_2023_1230") {
ids = append(ids, "eu_2023_1230")
}
if strings.Contains(gdprRef, "Art. 9") || strings.Contains(gdprRef, "Art. 22") {
// Already have GDPR
}
}
// Add AI Act if AI-related controls are required
for _, ctrl := range assessment.RequiredControls {
if strings.HasPrefix(ctrl.ID, "AI-") {
if !contains(codes, "AIACT") {
codes = append(codes, "AIACT")
if !contains(ids, "eu_2024_1689") {
ids = append(ids, "eu_2024_1689")
}
break
}
}
// Add BSI if security controls are required
// Add CRA/NIS2 if security controls are required
for _, ctrl := range assessment.RequiredControls {
if strings.HasPrefix(ctrl.ID, "CRYPTO-") || strings.HasPrefix(ctrl.ID, "IAM-") {
codes = append(codes, "BSI-TR-03161-1")
if strings.HasPrefix(ctrl.ID, "CRYPTO-") || strings.HasPrefix(ctrl.ID, "IAM-") || strings.HasPrefix(ctrl.ID, "SEC-") {
if !contains(ids, "eu_2022_2555") {
ids = append(ids, "eu_2022_2555")
}
if !contains(ids, "eu_2024_2847") {
ids = append(ids, "eu_2024_2847")
}
break
}
}
return codes
return ids
}
// ListAvailableRegulations returns the list of regulations available in the corpus.
func (c *LegalRAGClient) ListAvailableRegulations() []CERegulationInfo {
return []CERegulationInfo{
CERegulationInfo{ID: "eu_2023_1230", NameDE: "EU-Maschinenverordnung 2023/1230", NameEN: "EU Machinery Regulation 2023/1230", Short: "Maschinenverordnung", Category: "regulation"},
CERegulationInfo{ID: "eu_2024_1689", NameDE: "EU KI-Verordnung (AI Act)", NameEN: "EU AI Act 2024/1689", Short: "AI Act", Category: "regulation"},
CERegulationInfo{ID: "eu_2024_2847", NameDE: "Cyber Resilience Act", NameEN: "Cyber Resilience Act 2024/2847", Short: "CRA", Category: "regulation"},
CERegulationInfo{ID: "eu_2022_2555", NameDE: "NIS-2-Richtlinie", NameEN: "NIS2 Directive 2022/2555", Short: "NIS2", Category: "regulation"},
CERegulationInfo{ID: "eu_2016_679", NameDE: "Datenschutz-Grundverordnung (DSGVO)", NameEN: "General Data Protection Regulation (GDPR)", Short: "DSGVO/GDPR", Category: "regulation"},
CERegulationInfo{ID: "eu_blue_guide_2022", NameDE: "EU Blue Guide 2022", NameEN: "EU Blue Guide 2022", Short: "Blue Guide", Category: "guidance"},
CERegulationInfo{ID: "nist_sp_800_218", NameDE: "NIST Secure Software Development Framework", NameEN: "NIST SSDF SP 800-218", Short: "NIST SSDF", Category: "guidance"},
CERegulationInfo{ID: "nist_csf_2_0", NameDE: "NIST Cybersecurity Framework 2.0", NameEN: "NIST CSF 2.0", Short: "NIST CSF", Category: "guidance"},
CERegulationInfo{ID: "oecd_ai_principles", NameDE: "OECD Empfehlung zu Kuenstlicher Intelligenz", NameEN: "OECD Recommendation on AI", Short: "OECD AI", Category: "guidance"},
CERegulationInfo{ID: "enisa_supply_chain_good_practices", NameDE: "ENISA Supply Chain Cybersecurity", NameEN: "ENISA Good Practices for Supply Chain Cybersecurity", Short: "ENISA Supply Chain", Category: "guidance"},
CERegulationInfo{ID: "enisa_threat_landscape_supply_chain", NameDE: "ENISA Threat Landscape Supply Chain", NameEN: "ENISA Threat Landscape for Supply Chain Attacks", Short: "ENISA Threat SC", Category: "guidance"},
CERegulationInfo{ID: "enisa_ics_scada_dependencies", NameDE: "ENISA ICS/SCADA Abhaengigkeiten", NameEN: "ENISA ICS/SCADA Communication Dependencies", Short: "ENISA ICS/SCADA", Category: "guidance"},
CERegulationInfo{ID: "cisa_secure_by_design", NameDE: "CISA Secure by Design", NameEN: "CISA Secure by Design", Short: "CISA SbD", Category: "guidance"},
CERegulationInfo{ID: "enisa_cybersecurity_state_2024", NameDE: "ENISA State of Cybersecurity 2024", NameEN: "ENISA State of Cybersecurity in the Union 2024", Short: "ENISA 2024", Category: "guidance"},
}
}
// FormatLegalContextForPrompt formats the legal context for inclusion in an LLM prompt.
@@ -352,12 +416,9 @@ func (c *LegalRAGClient) FormatLegalContextForPrompt(lc *LegalContext) string {
buf.WriteString("\n\n**Relevante Rechtsgrundlagen:**\n\n")
for i, result := range lc.Results {
buf.WriteString(fmt.Sprintf("%d. **%s** (%s)", i+1, result.RegulationName, result.RegulationCode))
if result.Article != "" {
buf.WriteString(fmt.Sprintf(" - Art. %s", result.Article))
if result.Paragraph != "" {
buf.WriteString(fmt.Sprintf(" Abs. %s", result.Paragraph))
}
buf.WriteString(fmt.Sprintf("%d. **%s** (%s)", i+1, result.RegulationShort, result.RegulationCode))
if len(result.Pages) > 0 {
buf.WriteString(fmt.Sprintf(" - Seiten %v", result.Pages))
}
buf.WriteString("\n")
buf.WriteString(fmt.Sprintf(" > %s\n\n", truncateText(result.Text, 300)))
@@ -377,6 +438,24 @@ func getString(m map[string]interface{}, key string) string {
return ""
}
func getIntSlice(m map[string]interface{}, key string) []int {
v, ok := m[key]
if !ok {
return nil
}
arr, ok := v.([]interface{})
if !ok {
return nil
}
result := make([]int, 0, len(arr))
for _, item := range arr {
if f, ok := item.(float64); ok {
result = append(result, int(f))
}
}
return result
}
func contains(slice []string, item string) bool {
for _, s := range slice {
if s == item {

View File

@@ -148,6 +148,8 @@ services:
AUDIT_LOG_PROMPTS: ${AUDIT_LOG_PROMPTS:-true}
ALLOWED_ORIGINS: "*"
TTS_SERVICE_URL: http://compliance-tts-service:8095
QDRANT_HOST: bp-core-qdrant
QDRANT_PORT: "6333"
extra_hosts:
- "host.docker.internal:host-gateway"
depends_on: