What is a Vector Database? Powering Semantic Search & AI Applications

Channel:
United States IBM Technology
Subscribers:
1,180,000
Published on ● Video Link: https://www.youtube.com/watch?v=gl1r1XV0SLw


Duration: 0:00
60,355 views
2,148

Ready to become a certified Qiskit Developer? Register now and use code IBMTechYT20 for 20% off of your exam → https://ibm.biz/BdG5uz

Learn more about Vector Databases here → https://ibm.biz/BdG5uq

How can you find images with similar color palettes or landscapes? 🖼 ️ Martin Keen explains how vector databases use vector embeddings to bridge the semantic gap, enabling advanced semantic search. 🌐 Explore AI innovations like retrieval-augmented generation (RAG) and efficient similarity searches. 🚀

AI news moves fast. Sign up for a monthly newsletter for AI updates from IBM →https://ibm.biz/BdG5uff

#vectordatabase #semanticsearch #aiapplications #machinelearning



Other Videos By IBM Technology


2025-04-02Modernizing Apps: 3 Steps with Automation & Generative AI
2025-04-01Ansible vs. Python: Simplify Automation
2025-04-01DIY AI Infrastructure: Build Your Own Privacy-Preserving AI at Home
2025-03-31How to Avoid the Uncanny Valley in Conversational AI Design
2025-03-28DeepSeek-V3-0324, Gemini Canvas and GPT-4o image generation
2025-03-27Build a Text-to-SQL Agent for Smarter Database Queries
2025-03-26Can LLMs Learn Without Losing Their Minds? Exploring Generative AI!
2025-03-25GSLB: Traffic Steering Made Simple
2025-03-25Large Language Models Simplifying App Modernization
2025-03-24LLM Lifecycle: Tackling Data Challenges
2025-03-24What is a Vector Database? Powering Semantic Search & AI Applications
2025-03-21NVIDIA GTC, Baidu reasoning models and Gemini AI image generation
2025-03-19Disaster Recovery vs Operational Resilience: Protecting Your Data
2025-03-18Modern Mainframes: Myths vs Reality
2025-03-18What is Data Visualization?
2025-03-17What is Semi-Supervised Learning?
2025-03-17RAG vs. CAG: Solving Knowledge Gaps in AI Models
2025-03-14Manus, vibe coding, scaling laws and Perplexity’s AI phone
2025-03-13Ground Truth: The Foundation of Accurate AI & Machine Learning Models
2025-03-12Building Trustworthy AI: Avoid Model Drift & Unsafe Outputs
2025-03-11Dark Web FAQs: Myths, Risks, & Legitimate Uses Explained