 |
 |
| |
RAG (Retrieval-Augmented Generation) has gained much attention lately with its promise to reduce, or even eliminate, hallucinated information from search results. By combining language models with contextually relevant, organizationally verified knowledge stores, retrieved data is transparent, accurate, and reliable, with underlying sources identifiable. Needed is avoiding ungoverned LLM entity extraction. and turning knowledge into an agile, model-agnostic asset.
At the webinar you will learn from Graphwise and Shelf about:
- Why vector proximity finds "neighbors" but fails at business rules and cause-and-effect.
- How an immutable semantic layer slashes enterprise hallucinations and builds audit-ready trust.
- Why going beyond out-of-the-box RAG is necessary to build AI that performs consistently and scales across the enterprise.
- How ontologies and structured knowledge create richer context for superior AI.
Register Now to attend the webinar KM + RAG: Building Trustworthy, Context-Aware AI.
Don't miss this live event on Tuesday, September 29, 11 am PT / 2 pm ET.
| SPEAKERS |
|
|
|
MODERATOR |
 |
 |
 |
Kent Stroker
Pre-sales Engineer
Graphwise |
Jan Štihec
Director, Data & AI
Shelf |
Marydee Ojala
Editor-in-Chief
KMWorld magazine |
|
|
| |
| |
|