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Vector databases sound technical, but they are one of the most important ideas behind modern AI. This video breaks down vector ...

Vector databases power modern AI systems like semantic search, RAG pipelines, and AI agents. In this video, we break down ...

This method completely eliminates the need for expensive Vector Database maintenance by letting Google RAG handle the ...

In this video, I explain exactly what vector databases are and why they are becoming the backbone of modern AI applications.

Qdrant is a high-performance vector database essential for AI projects, RAG (Retrieval-Augmented Generation), and semantic ...

RAG Explained: How AI Learns to Look Things Up What if your AI could access your documents instead of making things up?

Understand that AI's 'understanding' is fundamentally numerical, through vectors. • Explore vector database solutions (e.g., ...

... generate embeddings with OpenAI, and store them in Pinecone as a vector database. This setup allows your chatbot to retrieve ...

What You'll Learn: - Install Python and Ollama for local AI development - Set up Chroma vector database for semantic search ...

A simpler approach to PDF processing with AI: no RAG, no vectors, just direct document handling with token cost analysis.

... Tutorials by Mukesh Kala ChromaDB, vector database tutorial, ChromaDB Python, how to use ChromaDB, store vectors Python, ...

This deep technical lecture explains vector databases from first principles to production-scale system design. Learn how ...

Part of the 'AI for Developers' series by Chaitanya. Today's Lesson: Vector Databases: The Memory for Smart AIs ...

YouTube Description (SEO Optimized) Vector Databases are the backbone of modern AI systems In this video, I explain what a ...

9:23 RAG architecture 12:10 What is a vector embedding? 15:06 Vector databases 17:54 Vector storage 19:44 Similarity search ...

Description: Learn how to turn Redis into a powerful Vector Database! In this comprehensive 45-minute masterclass, we cover ...

Discover how to extend Large Language Models beyond their training data using vector databases, embedding models, and ...

Learn how to benchmark embedding models on your own data in this course for beginners. In this course, you will learn: - The ...

Pinecone vs Chroma (2026) – Which Vector Database Should You Use? If you're building AI apps, RAG systems, or semantic ...