Pre-built Applications
Ready-to-deploy applications across industries and functions.
Application Accelerators
Leverage pre-built AI agents, templates, and integrations from the Kore.ai Marketplace.
.webp)
Blog
All Articles
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
UniMS-RAG: Unified multi-source RAG for personalised dialogue
Explore UniMS-RAG, a unified framework that enhances LLMs by integrating multi-source retrieval and self-refinement for highly personalized AI dialogues.
Cobus Greyling
How is RAG reinventing enterprise search and reducing time-to-insight?
RAG transforms enterprise search from keyword matching to context-aware intelligence. Learn how retrieval-augmented generation cuts time-to-insight, reduces hallucinations, and powers faster decisions.
Juhi Tiwari
Breaking knowledge silos with RAG: The future of enterprise search
Fragmented knowledge kills productivity. Discover how retrieval-augmented generation (RAG) breaks down enterprise data silos and delivers context-aware answers, at scale, on the Kore.ai Agent Platform.
Juhi Tiwari
What is RAG - Retrieval-Augmented Generation ?
Retrieval-augmented generation (RAG) improves LLM accuracy by grounding responses in real enterprise data. Learn how RAG works, when to use it, and how Kore.ai uses it to power secure, context-aware AI agents.
Juhi Tiwari
Get the latest resources straight to your inbox
Subscribe to stay ahead and receive exclusive updates from our resource center before anyone else!