Zero-Vector v3

Tools · 24

• 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