Tag: Agentic RAG

ICYMI: Eudald Camprubí on retrieval-augmented generation, small language models and secure AI adoption.

This blog argues that the success of a retrieval-augmented generation (RAG) system depends more on data quality, metadata and governance than on model tuning or pipeline optimization. Without clear metadata, document ownership, permissions and freshness controls, AI systems can retrieve outdated or incorrect information, leading to hallucinations. Ultimately, trustworthy AI requires well-structured, governed data, not just more advanced models.

Traditional search returns links. AI search delivers answers. Learn how organizations are transforming site search into a smarter knowledge experience.

Video has become a critical tool for troubleshooting, learning and getting work done. Learn how AI video indexing in Progress Agentic RAG contributes to enterprise AI strategy by unlocking knowledge stored in recordings, providing verifiable evidence for decisions, improving cross-team knowledge sharing and supporting governance.

What does the term “agentic” or “agent” mean in AI? How is it different from “predictive AI”? How does any of this apply to your business? This post breaks it down.