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Martin Keen and Josh Spurgin break down Multimodal RAG, where LLMs and vector databases work together to transform AI ...

Sponsored by Databricks Neon → https://get.neon.com/bl6FZuG Large language models do not know your private company data.

4:16 - The Vector Database Problem 5:09 - How Vector Databases Work (HNSW) 7:24 - The Critical Mistake 7:50 - Real-World ...

This video locally installs Zvec which in-process vector database — lightweight, lightning-fast, and designed to embed directly into ...

Vector Databases are the hidden engine behind LLMs, RAG, and semantic search. In this Zero to Hero guide, we move beyond ...

Join the Tool Use Discord: https://discord.gg/PnEGyXpjaX Vector databases can be an important component for building reliable ...

Do you really need embeddings and a vector database to create a RAG system? In this video, we'll build entirely local RAG that ...

... to end retrieval augmented generation explained RAG tutorial LangChain RAG project vector database tutorial embeddings in ...

Stop paying for Pinecone. Stop paying for OpenAI embeddings. For 95% of projects, Supabase's built-in pgvector extension is all ...

vectordatabase #hnsw #vectorsearch #semanticsearch.

Get access to our complete code files for Modules 3-8 & join hundreds of builders creating production-grade RAG systems in our ...

While Large Language Models (LLMs) and agents dominate the AI conversation, the true backbone of reliable, production-ready ...

In this video, I explain what vector databases really are, why keyword search fails for AI, and how similarity search works in real ...

Stop searching for exact matches and start searching for meaning. If you're building AI applications in 2025, picking the wrong ...

Discover how to ask questions and retrieve answers efficiently before moving on to Chroma, another vector database. Finally ...

Your chatbot is not “smart” if it guesses. It's just confident. In this video, I explain RAG (Retrieval-Augmented Generation) in the ...

Subscribe for more practical GenAI / RAG / LLM engineering content Drop a comment: Which vector database are you using ...

Learn how to build a powerful Retrieval-Augmented Generation (RAG) application using Amazon Bedrock in just 10 minutes.

In this video we will learn about how to build RAG agents with vector database in n8n, create retrieval augmented generation AI ...

Oracle 26AI is a converged database where vectors, relational data, JSON, spatial, and graph workloads run together with full ...