Artificial Intelligence in R&D: Leveraging Graph RAG for Competitive Advantage
July 10, 2025
A blog by R&D AI leader Nicolas Pineau on unlocking innovation in R&D through Graph RAG and AI. Discover how knowledge graphs and Retrieval-Augmented Generation can boost research productivity and deliver strategic advantage.
What exactly is a vector, and more importantly, why should you care? In simple terms, a vector is a numeric representation of data. For example, a paragraph of text, an image, or even a sound clip can be transformed into a vector, which is a series of numbers that capture its meaning, context or features. Vectors allow computers to “understand” unstructured data and compare it in ways that traditional databases cannot, both of which are foundational to AI.
Read how to increase the performance of your graph queries and improve the contextual relevance of your semantic RAG systems with native support for the graph shortest path algorithm in Progress MarkLogic Server 12.
In R&D, the true power of AI like ChatGPT lies not in clever prompts, but in context engineering: the discipline of shaping and delivering the accurate information from a company’s vast knowledge base so AI can deliver meaningful, domain-specific insights.
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