AI for Beginners : Embeddings & Vector Databases (How AI Understands Meaning)
Автор: Pallavi Srivastava | @aiwithpallavi
Загружено: 2026-01-11
Просмотров: 86
This is where AI stops matching words and starts understanding meaning.
In this video, we explore:
What are embeddings in AI
What is a vector database
How semantic search works
Semantic search vs keyword search
Examples of vector databases
This concept quietly powers:
Search
Recommendations
RAG systems
Memory in AI applications
If embeddings feel intimidating today, this video will make them feel obvious.
You don’t need linear algebra to follow along — just curiosity.
Videos in this series:
1. AI, ML, DL, GenAI & the History Behind It : • AI for Beginners : AI, ML, DL, GenAI & the...
2. What Are AI Models? The One Concept Everything Builds On : • AI for Beginners : What Are AI Models? The...
3. LLMs & Transformers Explained (Without the Hype) : • AI for Beginners : LLMs & Transformers Exp...
4. Embeddings & Vector Databases (How AI Understands Meaning) : • AI for Beginners : Embeddings & Vector Dat...
👍 Like if embeddings finally clicked
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#llm #genai #coding #generativeai #machinelearning #aiagents #ai #aivideo
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