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THURSDAY, 5 NOVEMBER 20262,139 channels on the wireFree edition

AI & Tools desk — breakout report

Are Vector Databases Still Needed? RAG, AI Agents & Search

IBM Technology's upload has reached 23.8K views — about 5.1× the ≈4.7K this channel typically draws at the same age.

Key facts

  • •5.1x IBM Technology's own 90-day median — this channel normally draws about 4.7K views at the same age.
  • •23.8K views so far, published 9h ago.
  • •Category: Education · Language: en · Quality: HD · Captions: yes
  • •"Breakout" is measured against this exact channel's trailing 90-day median at matching video age — not a generic niche average.

Updated 2026-11-05 18:20 UTC

Video thumbnail: Are Vector Databases Still Needed? RAG, AI Agents & Search
Watch on YouTube ↗ · IBM Technology · 1.8M subscribers

View trajectory

Views this upload has gathered since it published, last measured about 6h in — from our own tracking.

0h 6h after publish 23.8K views

Published Nov 5, 2026 · 9h ago. How breakouts are measured →

From the creator

Learn more about Vector Databases here → https://ibm.biz/~aHY62ka9p Do AI applications still need vector databases? Martin Keen explores RAG, AI agents, embeddings, semantic search, and context windows to explain when vector databases matter and when simpler retrieval approaches work just as well. Learn how to choose…

Category: Education · Language: en · Quality: HD · Captions: yes

Topics: Knowledge · Technology

Tags: IBM, IBM Cloud

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