hybrid_retrieval
Performs hybrid vector-graph retrieval combining semantic search with knowledge graph traversal for context-aware memory recall
persona_memory
Manages AI persona memory with entity extraction, relationship mapping, and context-aware storage
multi_step_reasoning
Executes multi-step reasoning chains with approval gates and performance monitoring for sophisticated AI decision-making
human_approval
Handles human-in-the-loop approval workflows for critical AI operations and decision gates
workflow_management
Orchestrates and manages LangGraph workflow execution including state management and agent coordination
graph_exploration
Explores and traverses the knowledge graph to discover entity relationships and patterns
entity_extraction
Automatically extracts entities from text and maps relationships within the knowledge graph
embedding_service
Generates vector embeddings using OpenAI or local transformers for semantic search operations
performance_cache
Manages Redis/PostgreSQL caching layer for optimized performance with 95%+ cache hit rate
state_management
Handles LangGraph state persistence and checkpointing using PostgreSQL for workflow continuity
hybrid_memory_manager
Coordinates hybrid memory retrieval combining vector search and graph traversal for comprehensive context
feature_flags
Manages feature flag system for controlled rollout of new capabilities and A/B testing
approval_service
Provides human-in-the-loop approval processing for critical workflow decision points
graph_service
Manages knowledge graph operations including entity creation, relationship mapping, and traversal queries
vector_search
Performs high-performance vector similarity search with sub-50ms latency for 10,000+ vectors
knowledge_graph_intelligence
Provides automatic entity recognition and relationship mapping for building intelligent knowledge graphs
multi_agent_orchestration
Coordinates 7-node workflow graph with multiple AI agents for complex task execution
langgraph_compilation
Compiles LangGraph workflow graphs with sub-3ms compilation time for 7-node configurations
memory_integration
Integrates hybrid memory retrieval with sub-500ms latency for context-aware AI responses
system_initialization
Handles complete system initialization with 2-3 second startup time for all services
service_coordination
Coordinates v2/v3 system services for seamless multi-server operation and data consistency
content_access
Provides advanced content access capabilities with context-aware retrieval and filtering
workflow_execution
Executes standard AI conversation workflows with sub-2s completion time
infrastructure_setup
Manages PostgreSQL and Redis infrastructure setup for production deployment