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Why RAG is the missing link in enterprise AI | Box AI Explainer Series EP 1

Blog post from Box

Post Details
Company
Box
Date Published
Author
Box
Word Count
1,717
Company Posts That Month
37
Language
English
Hacker News Points
-
Post removed?
No
Summary

Box’s AI Explainer Series episode examines Retrieval-Augmented Generation (RAG) as a way for enterprises to combine foundation models with current, business-specific information rather than relying solely on static training data. Featuring Box CTO Ben Kus and senior product marketing manager Meena Ganesh, the video explains how RAG retrieves relevant organizational content at query time to improve response accuracy, provide enterprise context, and reduce hallucinations. It also discusses Box’s practical use of RAG and outlines considerations for CIOs as generative AI becomes more integrated into business platforms and workflows.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
RAG 40 715 169 67 -17%
AI Agents 15 5,062 1,205 240 -9%
MCP 8 9,495 902 210 -10%
LLM 6 4,506 899 202 -25%
AI Model Fine-tuning 4 648 174 61 -11%
Real-time 2 2,798 806 212 -42%
OpenClaw 1 198 38 21 +56%
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