NebulaGraph AI Application Platform
A unified graph and native vector database foundation for enterprise AI. NebulaGraph AI Application Platform natively integrates a high-performance vector search, empowering enterprises to build intelligent systems with deep relationship understanding. It leverages Fusion GraphRAG to deliver precise, context-aware answers, enabling seamless scaling from prototypes to production while unifying fragmented data and AI workflows.
Intelligent Knowledge Processing & Augmentation
Fine-Grained Knowledge Segmentation
Extracts entities and relations with precision to retain granular detail in structured knowledge.
Context-Aware Relationship Preservation
Keeps semantic connections intact to support transparent, explainable AI reasoning.
Semantic Retrieval with Graph Intelligence
Combines graph queries and algorithms to retrieve relevant information through structural context.
Core Components of Nebula AI Application Platform
1
Parse-Craft Module
Converts complex documents into standardized tree structures for further processing.
2
Knowledge Graph Builder
Uses LLMs to extract claims and convert them into typed triplets for knowledge graph construction.
3
Fusion Graph Builder
Merges knowledge graphs, document hierarchies, and community clusters into a unified fusion graph.
5
Fusion Graph Agent
Task-specialized agents execute multi-step workflows for advanced reasoning and automation.
4
Fusion GraphRAG Engine
Executes hybrid queries across the fusion graph to retrieve contextually relevant information.
Intelligent Support Bots
Deliver accurate, context-aware responses by grounding conversations in enterprise knowledge—reducing resolution time and improving user satisfaction.
Fault Diagnosis Assistants
Accelerate troubleshooting by connecting symptoms, logs, and repair histories through structured knowledge—enabling precise, explainable root-cause analysis.
Research Report Generators
Synthesize insights from scattered sources into coherent, citation-rich reports—maintaining factual consistency and domain-specific nuance.
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Fusion GraphRAG: Extending GraphRAG for Enterprise Needs
Fusion GraphRAG enhances GraphRAG by unifying knowledge graphs with adaptive retrieval for enterprise-scale accuracy and context. See how Nebula delivers smarter, unified answers—without fragmented AI tooling.
Preserves Global Context
Maintains explicit connections between concepts across documents, ensuring retrieved information remains semantically linked. This enables accurate answers grounded in broader knowledge relationships, not just isolated fragments.
Reasons Across Granularities
Dynamically shifts between high-level summaries and fine-grained details based on query needs, using hierarchical graph structures to support both strategic overviews and precise technical inquiries.
Unifies Retrieval Systems
Combines semantic search and knowledge graph indexing in a single framework, eliminating the need for multiple disjointed tools while improving performance, maintainability, and cost efficiency.