Vector Databases aur Embeddings | GenAI Meaning Kaise Samajhta Hai (Hindi)

Описание: Vector Databases aur Embeddings | GenAI Meaning Kaise Samajhta Hai (Hindi)

Is video mein hum simple Hindi mein samjhenge ki embeddings kya hoti hain, vector databases kaise kaam karti hain, aur kaise Generative AI systems text ka meaning samajhte hain.
Embeddings aur vector databases modern GenAI architectures ka foundation hote hain, jo semantic search aur Retrieval Augmented Generation (RAG) jaise systems ko power karte hain.

Is video mein aap seekhenge:
Embeddings kya hoti hain aur kaise kaam karti hain
Text ko numerical vectors mein kaise convert kiya jata hai
Semantic similarity ka concept
Vector database ka role aur vector search kaise hota hai
GenAI systems mein embeddings aur vector databases kyun important hain
RAG architecture mein vector databases ka use

Yeh video specially useful hai:
GenAI beginners aur learners ke liye
LLM aur RAG systems samajhne walon ke liye
Cloud Architects, ML Engineers aur AI Engineers ke liye
Vector databases aur semantic search seekhne walon ke liye

🔍 Topics Covered
Embeddings explained in Hindi
Vector databases explained in Hindi
Semantic search
Vector similarity
RAG fundamentals
GenAI architecture

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Vector Databases Scale par kaise Search karte hain | HNSW Explained in Hindi

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