Enabling logical reasoning and generating supporting evidence to improve information accuracy and reliability.

Knowledge Graph-Enhanced RAG

Fujitsu Knowledge Graph-Enhanced RAG automatically creates knowledge graphs that structure vast amounts of enterprise data, including corporate policies, laws and regulations, internal manuals, and video content. This technology expands the amount of data that large language models can reference from the conventional scale of hundreds of thousands or millions of tokens to more than 10 million tokens. By providing generative AI with accurate, context-rich knowledge derived from the relationships captured in the knowledge graph, it enables logical reasoning and provides clear evidence for generated outputs.

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KG enhanced RAG for Q&A 2.0

Generative AI identifies useful knowledge and provides answers to complex questions that require cross-referencing and inference across numerous documents, including charts and tables with world-class accuracy.

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KG enhanced RAG for Software Engineering

Understanding legacy system design using LLMs.

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KG enhanced RAG for Root Cause Analysis

Analyzing the cause of system failures through natural language dialogue even for non-experts.

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