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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 RAG works, until it doesn't. When enterprise AI moves from simple search to real reasoning, vector-only architectures hit a ...

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

This talk was recorded at the Lisbon Exhibition and Congress Centre in Lisbon, Portugal. #azuredevsummit #ndcconferences ...

Ever wondered how ChatGPT remembers your specific data or how Netflix knows exactly what you want to watch next? It's not ...

... fine-tuning vs prompt engineering Vector databases and embeddings (explained simply) Real-world RAG use cases (chatbots, ...

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

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

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

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

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

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

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

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

Join host Kandyce Bohannon and guest Fathima Kamal, Storage Specialist SA, as they explore the cutting edge of vector-driven ...

Full course available on @udemy: https://www.udemy.com/course/bases-de-datos-vectoriales-y-rag-para-aplicaciones-de-ia ...

Semantic search, image similarity, distance metrics. Dot-product = alignment. Cosine = angle between them. Euclidian = absolute ...

But how does a vector database do it? How exactly does a vector database store its data so that it is able to perform a semantic ...

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

Ever wondered how Google understands what you mean, not just what you type? From ChatGPT to Netflix recommendations, ...

A vector database is a sophisticated storage system designed to manage high-dimensional data by representing information as ...

Hello Everyone, Welcome back to my YouTube channel Summarized AI ! In this video, we are going to talk about Text Splitters in ...

I-RAG solves this problem by storing document location metadata directly within vector databases alongside content embeddings.

In Part 5, we brainstorm a real-world multi-agent use case from scratch to understand how different agents fit into a workflow.