Graph
GraphRAG Knowledge Graph
A dynamically constructed and continuously updated knowledge graph that connects documentation, case data, product issues, and customer context for real-time traversal and guidance.
Technology
The Kiku Intelligence Platform
Kiku unites intelligent ingestion, dynamic ontology, GraphRAG, metadata governance, and model-agnostic agent orchestration within the Kiku Intelligence Platform. For high-complexity B2B environments such as manufacturing, high technology, and utilities, these building blocks create a secure, privacy-conscious foundation where governed support intelligence compounds across every application.
Ingestion
Documentation, cases, product issues, customer context, calls, meetings, APIs, and event streams.
Intelligence core
GraphRAG knowledge graph, Agentic Resolution Engine, ontology, metadata, and agent orchestration.
Experiences
Kiku Live, customer service workflows, and enterprise knowledge graph products.
Feature index
Jump to the platform capabilities that matter most.
Each section below maps to a core platform capability. Together, they form the GraphRAG knowledge graph and agentic engine that powers every Kiku solution.
Explore GraphRAG Knowledge Graph
Metadata
Dynamic Ontology
AI-generated and continuously updated domain ontology that understands your entities, concepts, categories, relationships, and answer paths.
AI
Agentic Resolution Flow
Self-learning workflows that orchestrate multi-step guidance using real-time context and graph retrieval.
Search
Intelligent Ingestion
AI-driven ingestion from documentation, case data, product issues, APIs, databases, and customer context, normalizing and enriching content as it arrives.
Search
GraphRAG Retrieval
Combined semantic, keyword, ontology, metadata, and graph traversal retrieval at scale for deep support relevance.
AI
AI Agent Harness
A model-agnostic framework for building specialized agents and integrating them into your stack.
Metadata
Metadata Framework
Flexible metadata modeling and filtering that flows consistently across every Kiku application.
Analytics
Analytics Showcase
Governed analytics reveal search behavior, content gaps, and operational signals across the platform.
GraphRAG Knowledge Graph
A living knowledge graph, not a static knowledge base.
Kiku's GraphRAG Knowledge Graph ingests documentation, case data, product issues, customer context, and support interactions, then models the relationships between them. When Kiku Live detects an issue, the agentic engine traverses this graph in real time to generate next steps that reflect the full situation, not just the closest article match. Every closed case writes new edges, confidence signals, and answer patterns back into the graph.
Multi-Source Graph Construction
Connect documentation, historical cases, product issue logs, customer profiles, recordings, and enterprise systems into one governed graph.
Real-Time Graph Traversal
Traverse issue, product, customer, entitlement, and prior-case relationships as the live interaction unfolds.
Closed-Loop Graph Learning
Write resolved outcomes, escalations, agent overrides, and quality signals back into the graph so future flows improve automatically.
Core concept
Documentation + Cases + Product Issues + Customer Context
Multi-source graph construction
Real-time traversal during live support
Closed-loop outcome write-back
Dynamic Ontology
A domain model that keeps learning with your business.
Kiku’s Dynamic Ontology feature builds and maintains a custom enterprise domain ontology automatically using AI. It continuously learns about your entities, concepts, categories, relationships, products, issues, customers, and answer paths as new content and signals arrive.
Ontology Bootstrapping
Analyze existing content and metadata to propose an initial domain model of entities, attributes, relationships, issue types, and case patterns.
Continuous Learning & Refinement
Update the ontology as new documentation, cases, product issues, meetings, and interactions are ingested, avoiding brittle manually curated taxonomies.
Ontology-Aware Retrieval
Improve recall and precision, understand synonyms, and bridge natural language queries to structured graph context.
Core concept
Entities + concepts + relationships
Ontology bootstrapping
Continuous refinement from new content
Ontology-aware retrieval
Agentic Resolution Flow
Self-learning workflows for complex issues.
Agentic Resolution Flow orchestrates multi-step guidance that adapts to issue type, customer profile, product state, channel, and retrieved graph context, while preserving human control.
Contextual Workflow Generation
Build answer paths that depend on issue type, customer profile, product state, channel, and retrieved graph context.
Feedback and Outcome Learning
Learn from which paths resolve issues fastest and which steps create friction, continuously refining flows.
Human-in-the-Loop Control
Allow agents to override, branch, or annotate flows, capturing expert knowledge for future automation.
Core concept
Dynamic graph-grounded workflows
Generate paths from issue and customer context
Learn from completed outcomes
Keep agents in control of overrides
Intelligent Ingestion
Bring every source into one graph-ready system.
Intelligent Ingestion brings content from disparate sources into the Kiku Platform using AI to normalize, enrich, and prepare it for graph construction, GraphRAG retrieval, and guided workflows.
Multi-Source Connectors
Ingest from documentation, files, APIs, databases, case systems, product issue trackers, recordings, and customer systems with consistent pipelines.
Content Normalization & Chunking
Normalize formats, segment content into graph-ready units, and attach metadata.
Enrichment & Quality Signals
Add semantic tags, entities, relationships, and quality or relevance signals for smarter retrieval and analytics.
Core concept
One ingestion fabric
Web, file, API, and database connectors
Normalization and chunking
Enrichment and quality signals
GraphRAG Retrieval
Graph, semantic, and keyword retrieval fused for enterprise precision.
Kiku blends semantic similarity, lexical matching, ontology awareness, metadata filters, and graph traversal so retrieval behaves like an expert support analyst instead of a plain vector store.
Semantic + Lexical Blending
Blend vector-based semantic similarity with keyword and field-based matching, tuned to your domain.
Graph + Ontology Ranking
Disambiguate terms, traverse related entities, boost important support relationships, and filter results using ontology and metadata.
Enterprise-Scale & Secure
Scale to millions of documents while enforcing strict RBAC filtering at query time.
Core concept
Graph + semantic + lexical fusion
Blend vector and keyword matching
Traverse support relationships
Enforce RBAC at query time
AI Agent Harness
Model-agnostic agents grounded in the knowledge graph.
The Kiku Agent Harness is a framework for building and orchestrating specialized AI agents on top of your governed knowledge graph, without locking you into one model vendor.
Model-Agnostic Execution
Use your preferred LLMs and AI services while Kiku handles routing and orchestration.
Graph-Grounded Agents
Force agents to ground reasoning and outputs in retrieved graph context rather than hallucinating.
Composable Tools & Actions
Give agents structured tools like retrieval, updates, and workflows under strict policies and RBAC.
Core concept
Specialized grounded agents
Route across preferred model providers
Ground outputs in the governed graph
Compose tools and actions safely
Metadata Framework
Consistent metadata across content, search, and applications.
Kiku’s Metadata Framework provides flexible, powerful metadata modeling across all applications and content types so one governance model can shape many experiences.
Schema Definition & Governance
Define metadata schemas per domain, content type, or application.
Consistent Filtering Across Apps
Apply the same metadata filters in customer service, live chat, internal KM, and analytics.
Metadata Expansion via AI
Use AI to suggest and expand metadata, improving retrieval, analytics, and routing.
Core concept
Shared enterprise metadata
Govern schemas by domain
Apply filters consistently across apps
Expand metadata with AI assistance
Governed Analytics
See platform analytics and knowledge signals in action.
This analytics walkthrough shows how Kiku surfaces governed usage signals, content performance, and operational patterns so teams can improve retrieval quality, identify flow friction, and manage the platform with confidence.
Kiku analytics walkthrough
A screen-share tour of the active analytics experience, highlighting how the platform exposes measurable intelligence for search, content health, and operational improvement.
Agentic Resolution Platform
Stop rebuilding answers.
Start compounding it.
Every case your team closes. Every product issue your experts diagnose. Every customer context signal that used to disappear. Kiku turns it into a governed knowledge graph that guides the next support interaction in real time. Come see Kiku Live.
No commitment · Response within 4 hours · Demo around your environment