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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
Chain-of-Symbol prompting (CoS) for LLMs
LLMs need to understand a virtual spatial environment described through natural language while planning & achieving defined goals in the environment.
Cobus Greyling
Re:imagine 2025: Empowering leaders to transform business with AI
Join us at Kore.ai re:imagine 2025, where we'll unveil the latest in AI technology, agentic AI, and AI agents to streamline your enterprise.
Raj Koneru
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