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Narrativa Knowledge Graph®

The foundation of accurate content

At the heart of the Narrativa Navigator platform is the Narrativa Knowledge Graph, a structured, domain-specific repository that powers precise and explainable content generation.

This unique foundation combines advanced data analytics, traditional Natural Language Generation (NLG), and state-of-the-art generative AI to deliver content that is accurate, scalable, and fully traceable.

SPOTLIGHT

How knowledge graphs improve LLMs for Life Sciences companies

Unlike generic LLM-only solutions, Narrativa anchors every output in a validated knowledge graph, eliminating hallucinations and ensuring 100% factual accuracy. Each generated statement can be traced back to its original data source, supporting full transparency for compliance reviews and audit trails.

The system is built for flexibility. Industry-specific or client-defined rules can be added or updated instantly without retraining models. Document structure, formatting, and content criteria can be adapted to meet shifting regulatory standards or internal requirements—supporting continuous improvement and faster deployment.

To further ensure privacy and control, Narrativa uses self-hosted open-source models for sensitive data and follows an agile development approach to stay at the forefront of emerging AI technologies.

With the Narrativa Knowledge Graph, enterprises gain the reliability, adaptability, and compliance assurance needed to transform data into trusted content at scale.

LLMs

Narrativa integrates Large Language Models (LLMs) throughout both data processing and content generation phases to enhance automation with precision and intelligence. On their own, LLMs offer strong linguistic capabilities—but when paired with the Narrativa Knowledge Graph, they become far more powerful and reliable.

During data processing, LLMs assist with ETL tasks and data enhancement, deriving new insights from structured datasets and improving downstream content quality. In the text generation phase, they resolve nuanced language tasks like verb selection, synonym use, pluralization, and contextual phrasing to produce natural, human-like text.

What makes this system exceptional is Dynamic Prompt Generation powered by our Knowledge Graph. Instead of relying on static, one-size-fits-all prompts, Narrativa dynamically builds precision-targeted prompts based on structured data and domain-specific rules. This ensures that the LLM produces output that is not only fluent, but also factually correct and compliant.

This synergy of Knowledge Graph and LLMs eliminates hallucinations, improves consistency, and ensures outputs meet regulatory and editorial standards—making it a robust foundation for scalable, enterprise-grade content automation.

Integrate your business data

Narrativa makes it easy to turn scattered, unstructured business data into organized ready-to-publish content.

Narrativa works with a wide range of file types, including PDFs, Word documents, spreadsheets, and others. As your business grows, our solution grows with you, supporting continuous updates and easy scaling, keeping your content accurate, current, and ready for automation.

SPOTLIGHT

“Medical writing automation ultimately allocates more funding toward actual trials and finding more cures for patients.”

Narrativa helps automate large portions of regulatory documentation, specifically Patient Safety Narratives, TLFs (Tables, Listings, and Figures) and Cross-Reporting, so that the BAML team improves the time and cost efficiency of the reporting process.

Len Rosenberg

Head, Clinical Operations / Beat AML

“AI focuses on the ‘what’, journalists on the ‘why’”

The Wall Street Journal, one of the most influential newspapers in the world, is now using Narrativa’s Natural Language Generation (NLG) services to automate its news. Alyssa Zeisler, R&D editor at The Wall Street Journal, recently revealed on Medium how they use our artificial intelligence system and the benefits this brings to their digital strategy.

Alyssa Zeisler

R&D editor