AUDIT.md

Audit Report — RAG Module

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Last Audit: 2026-04-19 | Auditor: Copilot | Status: ✅ Pass

Summary

Metric	Result
Build System Registration	✅ Verified
Source Files	55 .cpp in src/rag/
Test Coverage	✅ Present (38 dedicated test files in tests/)
Open TODOs	Low
Security Issues	None critical

Source Files Audited

File	Purpose
rag_judge.cpp	Main orchestrator for multi-dimensional RAG evaluation
knowledge_gap_detector.cpp	Three-level knowledge gap detection system
llm_integration.cpp	LLM inference bridge for RAG pipeline
streaming_retriever.cpp	Incremental context window filling with token-budget enforcement, MMR deduplication
faithfulness_evaluator.cpp	Fact-checking against retrieved sources
relevance_evaluator.cpp	Query-answer alignment scoring
completeness_evaluator.cpp	Query aspect coverage measurement
coherence_evaluator.cpp	Structure and readability scoring
bias_detector.cpp	Ethical compliance / bias checking
claim_extractor.cpp	Atomic claim decomposition from answers
response_parser.cpp	LLM evaluation response parsing
prompt_templates.cpp	Template and few-shot example management
judge_config.cpp	Configuration validation
rubric_evaluator.cpp	Custom rubric evaluation
judge_ensemble.cpp	Multi-judge voting strategies
pairwise_comparator.cpp	Head-to-head response comparison
cot_evaluator.cpp	Chain-of-thought evaluation
geval_evaluator.cpp	G-Eval framework (Liu et al., 2023)
llm_judge_integration.cpp	Judge orchestration
llm_meta_analyzer.cpp	Performance meta-analysis
hybrid_retriever.cpp	BM25 + vector fusion with configurable RRF weights
reranker.cpp	Cross-encoder reranking
hallucination_dashboard.cpp	Rolling-window hallucination rate tracking
document_summarizer.cpp	Multi-document summarization before context injection
knowledge_graph_retriever.cpp	Knowledge graph-augmented retrieval with entity linking
document_splitter.cpp	Configurable chunking (size, overlap, strategy)
citation_highlighter.cpp	Map answer sentences to source chunks
agentic_rag.cpp	Agentic RAG with iterative retrieval loops
multimodal_rag.cpp	Multi-modal RAG (image + text retrieval)
adaptive_retrieval.cpp	Bayesian optimizer over retrieval parameters
evaluation_cache.cpp	Thread-safe LRU evaluation result cache with TTL
calibration_manager.cpp	Temperature scaling, Platt/isotonic regression for judge score calibration
batch_evaluator.cpp	Parallel batch evaluation with configurable worker threads
distributed_rag_evaluator.cpp	Distributed evaluation across multiple judge models
prompt_injection_detector.cpp	Pattern-based prompt injection detection and sanitization
replug_retriever.cpp	REPLUG-style LLM-scored retrieval fusion
nli_faithfulness_verifier.cpp	NLI entailment-based claim verification
adversarial_tester.cpp	Adversarial robustness testing for RAG pipeline
ab_testing_framework.cpp	A/B testing for retrieval and generation strategies
bayesian_optimizer.cpp	Bayesian optimization for retrieval hyperparameters
learning_metrics.cpp	Sliding-window metrics with mean/std-dev/trend export
continuous_learning_client.cpp	Client for continuous learning feedback loop
continuous_learning_orchestrator.cpp	Orchestrator for adaptive learning cycles (ContinuousLearningOrchestrator; themis::rag::learning namespace): triggerLoop(LoopPhase), registerLoopCompletionHandler(), setFederationCoordinator(), setTrainerForFederation(); TriggerEvent::FEDERATED_ROUND_START
rlaif_trainer.cpp	RLAIF (Constitutional AI) training pipeline
evaluation_report_exporter.cpp	Per-query evaluation report export (JSON/HTML)
llm_judge_client.cpp	HTTP client for remote LLM judge API
http_metrics_client.cpp	HTTP client for metrics ingestion
multi_hop_reasoner.cpp	Multi-hop reasoning over retrieved documents
multi_step_rag.cpp	Multi-step RAG with iterative retrieval planning
rag_context_assembler.cpp	Context assembly and formatting for LLM prompts
rag_ingestion_bridge.cpp	Connects IngestionToolbox to RAG pipeline (RAGIngestionBridge; themis::rag namespace): indexDocument(), enrichRetrievedDocuments(), extractEntitiesForContext(), buildEntityContext(); IndexResult return type
quality_control_factory.cpp	Factory for QA/QC pipeline components
quality_control_pipeline.cpp	End-to-end quality control pipeline orchestration
onnx_model_loader.cpp	ONNX model loader for local NLI/reranker inference
explainability_reason_builder.cpp	Explainability reason and evidence builder

Test Coverage

Test File	Coverage
tests/test_rag_judge.cpp	Main evaluation orchestrator
tests/test_rag_judge_phase1.cpp	Phase 1 evaluators
tests/test_rag_judge_phase2.cpp	Phase 2 streaming and reranking
tests/test_rag_judge_phase3.cpp	Phase 3 hybrid retrieval
tests/test_rag_judge_phase4.cpp	Phase 4 agentic / KG RAG
tests/test_rag_streaming_retriever.cpp	Streaming retriever
tests/test_rag_hybrid_retriever.cpp	Hybrid BM25+vector retriever
tests/test_rag_reranker.cpp	Cross-encoder reranking
tests/test_rag_hallucination_dashboard.cpp	Hallucination rate tracking
tests/test_rag_document_splitter.cpp	Chunking strategies
tests/test_rag_document_summarizer.cpp	Multi-document summarization
tests/test_rag_knowledge_graph_retriever.cpp	KG-augmented retrieval
tests/test_rag_citation_highlighter.cpp	Citation mapping
tests/test_rag_agentic.cpp	Agentic RAG
tests/test_rag_multimodal.cpp	Multi-modal RAG
tests/test_rag_adaptive_retrieval.cpp	Bayesian retrieval optimization
tests/test_rag_evaluation_cache.cpp	Evaluation LRU cache
tests/test_rag_calibration_manager.cpp	Judge score calibration
tests/test_rag_batch_evaluator.cpp	Parallel batch evaluation
tests/test_rag_distributed_evaluator.cpp	Distributed evaluation
tests/test_rag_prompt_injection.cpp	Prompt injection detection
tests/test_rag_replug_retriever.cpp	REPLUG retriever
tests/test_rag_adversarial_tester.cpp	Adversarial robustness
tests/test_rag_ingestion_bridge.cpp	Ingestion bridge
tests/test_rag_context_assembler.cpp	Context assembly
tests/test_rag_evaluation_report_exporter.cpp	Report export
tests/test_rag_multi_hop_reasoner.cpp	Multi-hop reasoning
tests/test_multi_step_rag.cpp	Multi-step RAG
tests/test_rag_rlaif_trainer.cpp	RLAIF trainer
tests/test_rag_pipeline_integration.cpp	End-to-end pipeline integration
tests/test_rag_ethics.cpp	Ethics / bias compliance
tests/test_rag_context_engine.cpp	Context engine
tests/test_rag_aql_integration.cpp	AQL query integration
tests/test_rag_prompt_builder.cpp	Prompt builder
tests/test_rag_uncovered.cpp	Additional coverage
benchmarks/bench_rag_evaluation.cpp	Recall@K, latency, batch throughput
tests/test_explainability_reason_builder.cpp	Explainability builder

Findings

Resolved

• Build system registration verified for all 55 source files
• PII filtering integrated into retrieval path — Evidence: src/rag/prompt_injection_detector.cpp (sanitizer strips sensitive patterns)
• Prompt injection detection and sanitization implemented — Evidence: include/rag/prompt_injection_detector.h, src/rag/prompt_injection_detector.cpp: PromptInjectionDetector (pattern-based), PromptInjectionSanitizer (truncation/replacement)
• GDPR Article 22 audit logging: source attribution present — Evidence: src/rag/rag_judge.cpp (claims linked to source documents)
• ContinuousLearningOrchestrator loop trigger API implemented — Evidence: include/rag/continuous_learning_orchestrator.h:283 (triggerLoop(LoopPhase), LoopPhase enum, TriggerEvent::FEDERATED_ROUND_START, setFederationCoordinator())
• RAGIngestionBridge implemented — Evidence: include/rag/rag_ingestion_bridge.h:109 (indexDocument(), enrichRetrievedDocuments(), buildEntityContext())

Open

• Loop-interference cooldown guard (OptimizationLock) not yet implemented (ROADMAP Phase 8)
• JSON context serialiser for loop outcome signals not yet implemented (ROADMAP Phase 8)
• Unit tests in tests/test_continuous_learning_orchestrator_loops.cpp not yet present

Compliance

RAG pipelines processing personal data fall under GDPR Article 22 (automated decision-making). Source attribution and audit logging support compliance requirements. prompt_injection_detector.cpp guards against data-exfiltration attacks in retrieved context.