Tag: semantic RAG

When it comes to FAIR life sciences data, keeping meaning and detail attached to pharmaceutical data supports trusted reuse across R&D, technology transfer and CDMO operations. Semantic harmonization can preserve source detail, add semantic context and relate different worlds without flattening them. Progress Data Platform helps connect complex data, documents and domain knowledge so information remains findable, reusable and trustworthy across teams, systems and partners.

Discover how agentic RAG combines Retrieval-Augmented Generation with autonomous AI agents to deliver accurate, context-aware and trustworthy responses. Learn why this advanced architecture outperforms traditional RAG for enterprise AI by facilitating dynamic workflows, compliance and efficiency.

The Progress Data Platform team introduces the Progressive Graphs© approach to incrementally maximize GenAI systems accuracy, transforming ROI for internal AI projects. This patent-pending technology integrates expert oversight and semantic analysis for more intelligent, user-driven search.

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.