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How should you design your database tables for a RAG application? In this video, we understand a practical database ...

Embeddings & Vector Databases Explained in 30 Seconds! How does AI understand the meaning of text and find similar ...

... version with every vector. Subscribe for more Microsoft 365 hardening. #VectorDatabase #VectorSearch #RAG #AzureAISearch ...

What is RAG, and how does it give an LLM access to information it may not already know? In this episode of AI in Plain English, ...

In this episode of the Generative AI series we look at the database that makes semantic search possible. Episode 8 showed how ...

Five terms separated: embedding, vector index, vector store, vector database, and the Microsoft 365 semantic index. Subscribe for ...

... Model runner: Ollama 06:13 | User interface: Open WebUI 07:44 | Vector database: Qdrant 08:50 | Document extraction: Apache ...

Topics covered: RAG Workflow, RAG Architecture, Retrieval-Augmented Generation, RAG Pipeline, Vector Database, ...

What happens when a complete novel enters a Vector Database? In this practical GenAI experiment, I take *The Picture of Dorian ...

Every vector store is a copy of content that lives somewhere else. The central security question is whether the source permissions ...

You'll learn how a user's question embedding is compared with document embeddings stored in a vector database to find and ...

A vector store finds information by meaning instead of by matching words, and it sits underneath every Copilot answer and every ...

... #VectorSearch #VectorDatabase #AIEngineering #Python #AgenticAI #ContextWindow #AIMemory #Database #GenerativeAI ...

... Evaluate Elasticsearch with a free trial https://www.elastic.co/docs/get-started/evaluate-elastic Elasticsearch Vector Database ...