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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 ...

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

In part 2, we explore how vector embeddings represent meaning and why they're so useful in machine learning. In this section ...

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

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

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

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

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

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

Euron - https://euron.one/ For any queries or counseling, feel free to call or WhatsApp us at: +919110665931 / +919019065931 ...

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

Discover how vector databases power modern AI applications! This complete guide breaks down everything you need to know ...

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

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

In this video, we give a **summary-level explanation** of **vector stores** (vector databases) used in RAG systems. Goal of this ...

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

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

Introduction to Vector Databases, Embeddings and Secret Sava Rag Results.

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

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

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

In part 3, we explore how vector embeddings work under the hood, starting with Word2Vec, one of the first models to encode word ...

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