AI Engine Configuration
Configure LLM models, RAG pipeline, and assessment preprompts
LLM Model Selection
Claude 3.5 Sonnet
Anthropic · Primary
200K context
Fast
Recommended
GPT-4o
OpenAI · Fallback
128K context
Fast
Reliable
Llama 3.1 70B
Meta · Local / Air-gapped
128K context
On-premise
Self-hosted
RAG Pipeline & Vector Database
RAG Enabled
Retrieval-Augmented Generation for compliance knowledge
Vector Database
pgvector (PostgreSQL extension)
Connected
Embedding Model
Advanced semantic embedding model
Active
Documents Indexed
1,247 chunks across 312 documents
ChromaDB Collections
15 framework collections + 6 organization collections
Healthy
Assessment Preprompts
Preprompt Version
v2.4 (last updated 2026-02-10)
Assessment Tone
Professional, supportive, jargon-free
Cross-Framework Mapping
Auto-detect overlaps during assessment
Max Context Tokens
128,000 tokens per conversation
Dynamic Context Management & Persistence
Dynamic Context Sizing
Automatically adjust context window based on query complexity
Adaptive
Context Persistence
Maintain conversation history across sessions with intelligent summarization
Intelligent Compression
Auto-compress when exceeding capacity while preserving key information
Priority-Based Retention
Retain most relevant context, remove less important chunks dynamically
Conversation Memory
Maintain conversation state with auto-summarization of older messages
Deterministic Indexing & Search Methodologies
Indexing Methodology
Deterministic indexing combined with semantic search
Search Optimization
Optimized for regulatory document retrieval
Enabled
Term Prioritization
Boost regulatory terms (GDPR, ISO, Article, Section)
Exact Match Priority
Article numbers and control IDs prioritized over semantic
Result Fusion
Intelligent combination of semantic and keyword results
Advanced Re-ranking
Final relevance optimization for best results
Control Graph Crawl & Relationship Mapping
Graph Crawl Enabled
Traverse control relationships and cross-standard mappings
Max Crawl Depth
3 hops (control → related controls → cross-standard mappings)
Cross-Standard Mapping
ISO 27001 A.9.2.5 ↔ GDPR Art. 32 ↔ SOC 2 CC6.1 (auto-detect)
Relationship Types
Prerequisites, dependencies, equivalencies, overlaps
Graph Database
PostgreSQL with recursive CTEs for relationship traversal
Active
Crawl Performance
Avg 12ms per hop | Max depth reached: 92% of queries