How AI Finds Answers Instantly
Modern AI systems don’t just rely on their training data. Many advanced applications use vector databases to search and retrieve knowledge in real time.
In this video, we explain what vector databases are, how embeddings work, and why they are critical for modern AI systems like ChatGPT-powered assistants, enterprise search tools, and recommendation engines.
You’ll learn:
• What embeddings are and how text becomes vectors
• How semantic search works
• Why traditional databases struggle with AI workloads
• How cosine similarity finds related information
• How vector databases power Retrieval…
Watch on YouTube ↗
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DeepCamp AI