Syngenta is showing why the future of agricultural innovation depends not just on more data, but on making scientific knowledge searchable, connected and usable at speed. By building an AI-powered semantic search platform, the company helped scientists find critical research faster, reduce knowledge silos and accelerate R&D decision-making.
A strong data foundation is the offensive line of AI—rarely celebrated, but absolutely essential to protecting performance, ensuring consistency and powering every winning play.
Integrating the Progress Corticon.js solution and MarkLogic platform can bring decision intelligence directly to your data, enabling high-performance, transparent and explainable automation of complex decisions across various industries.
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.