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Vector databases are rapidly growing in popularity as a way to add long-term memory to LLMs like GPT-4, LLaMDA, and LLaMA.

Try Vector Database Hands-On Labs for Free - https://kode.wiki/46vlLjG Learn how Vector Databases are revolutionizing AI ...

Vector Databases simply explained. Learn what vector databases and vector embeddings are and how they work. Then I'll go ...

This presentation was recorded at GOTO Copenhagen 2025. #GOTOcon #GOTOcph https://gotocph.com Alexander ...

Computerphile is supported by Jane Street. Learn more about them (and exciting career opportunities) at: ...

Learn to build, debug, optimize, and scale RAG systems for production. Free Production AI Starter Kit: ...

If you want to truly understand how AI applications like ChatGPT with memory, semantic search engines, and RAG systems ...

Discover IBM watsonx.data → https://ibm.biz/explore_watsonx_data Learn more about vector databases ...

In this video, we break down two of the most talked‑about data technologies today—graph databases and vector databases—and ...

Embeddings and Vectors are a great way of storing and retrieving information for use with AI services. OpenAI provides a great ...

Today, we dive into the subject of vector databases. Those databases are often used in search engines by using the vector ...

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This presentation was recorded at GOTO Amsterdam 2024. #GOTOcon #GOTOams https://gotoams.nl Alexander Chatzizacharias ...

Want to master Vector Databases from scratch? In this complete one-shot course, you'll learn everything you need to know about ...

Check out the key features of Oracle Database: https://social.ora.cl/6008UABRp Explore the basics of how a vector database ...

Embeddings turn meaning into math. Vector databases make that math searchable at scale. If you're building anything with AI ...

Ever wondered how your streaming service knows you meant Marley and Me when you searched for movies about a sad dog?

AI startups such as Pinecone, Milvus, and Chromadb have raised millions of $ in the hot AI boom era. They all have a common ...

This must-know guide will provide you with all the information you need to understand vector databases and how they are used in ...

As interesting and useful as LLMs (Large Language Models) are proving, they have a severe limitation: they only know about the ...

Learn more about Retrieval Augmented Generation (RAG) here → https://ibm.biz/~xjkgmfItH Complex documents often lead AI ...

Want ChatGPT to stop making stuff up and actually use your company's data? In this beginner-friendly explanation, I break down ...

Learn how to use vector search and embeddings to easily combine your data with large language models like GPT-4. You will first ...

Resources: Neon Vector Database: https://fyi.neon.tech/gs1 AWS Transcribe: https://aws.amazon.com/pm/transcribe This is how I ...

Lecture I gave on 4.3.2024, hosted by SingleStore. Download slides: https://by-hand.ai/lec/vecdb 00:00 Roadmap 00:39 Database ...

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... https://www.linkedin.com/company/betterstack Chapters: 00:00 Why picking a vector database is so hard 00:27 Qdrant drops ...

... real RAG implementations, test different chunking strategies, and see vector databases in action! Try RAG Hands-On Labs for ...

Code: https://github.com/entbappy/Complete-Generative-AI-Course-on-YouTube Welcome to this comprehensive tutorial on ...

In this video, Cloud X Berry explains vector databases in a simple and beginner-friendly way. You ask a support chatbot how to ...

Discover the power of vector databases in this comprehensive video. Understand how this cutting-edge technology is ...

Learn about vector embeddings and how to use them in your machine learning and artificial intelligence projects. Learn how to ...

Vector databases have been trending recently as they power modern search, recommendations, and AI-driven applications.

In this video, we learn about PGVector, an extension for PostgreSQL, which allows us to turn it into a vector database. This is very ...

In this video, we will answer the question about what is langchain and how can you use it. We will also learn about Langchain ...

This video is Sponsored by Twingate → https://twingate.plug.dev/eqoeK2F It breaks down the complete AI stack in a simple, ...

Description How does an AI search through millions of documents in milliseconds? In this video, we deep dive into Vector ...

In this video, we break down Vector Databases — the hidden engines behind modern AI and LLM-powered apps like ChatGPT, ...

Embeddings are a vector representation of data where semantically close data are placed close to each other. By using a vector ...

In the evolving landscape of AI and information retrieval, knowledge graphs have emerged as a powerful way to represent ...

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Build Your First Scalable Product with LLMs: https://academy.towardsai.net/courses/beginner-to-advanced-llm-dev?ref=1f9b29 ...

Helliuuu lovely people, this video explains what, why and how of vector databases. You will also learn about Vectors, Embedding, ...

In this video, we explore how the hierarchical navigable small worlds (HNSW) algorithm works when we want to index vector ...

Discover the importance of data normalization, vector embeddings, and indexing for fast and meaningful searches through vector ...

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Weaviate vs Qdrant | Which Vector Database is BETTER in 2025? (FULL REVIEW!) Dive into the world of search engines with this ...

Ever wondered how a computer learns the meaning of words like king and queen? How does an AI know that king is more related ...

Free Course + Certificate - https://www.analyticsvidhya.com/courses/?utm_source=yt_av&utm_medium=video This video covers ...

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VIDEO TITLE How LLMs use Vector Databases ✍️VIDEO DESCRIPTION ✍️ AI / LLM Concepts….. In this video, we will ...

Ever wondered how vector databases power lightning-fast semantic search, recommendation engines, and generative AI? It's not ...

Andy Pavlo (https://www.cs.cmu.edu/~pavlo/) Slides: https://15445.courses.cs.cmu.edu/fall2025/slides/09-indexes2.pdf Notes: ...

Frank Liu discusses the limitations of brute force search in vector databases and the benefits of Approximate Nearest Neighbor ...

... Generation) is an emerging approach that retrieves information for LLMs without using vector embeddings or vector databases.

Download your free Python Cheat Sheet here: https://realpython.com/cheatsheet Free Python Skill Test with instant level + ...

Semantic search with vector databases is all the rage, but how do you know when to use it versus traditional search methods like ...

Making the right infrastructure choices is crucial when building with artificial intelligence. This vector database tutorial breaks ...

In this tutorial, you'll learn how that Milvus is an open-source vector database for unstructured data, it was started in 2019 with a ...

Accelerate Your Automation & AI Agent Building⚡ https://www.skool.com/ai-builds-you-sleep FREE Skool community N8N and ...

Vector embeddings and Vector databases are essential parts of Semantic search, Similarly search, RAG etc. In this tutorial, the ...

Ever wondered how AI actually remembers things? That's where Vector Databases come in, they store meaning, not just words.

We will also showcase Pinecone DB, a fast and scalable vector database that allows you to easily store, retrieve and search ...

Day 8 of our AI Agent Learning Journey! In this video, we're diving into two of the most powerful concepts in modern AI: **RAG ...

Find the full "Generative AI for Beginners" Course here ➡️ https://aka.ms/genai-beginners There's more to LLMs than chatbots ...

Website Link: systemdrd.com Learn how to detect and mitigate data poisoning attacks in vector databases used for ...

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Master vector databases and embeddings in Python: map text to high-dimensional vectors, spin up a local ChromaDB, run ...

SQL developers, DBAs, AI embeddings, vector search, DiskANN indexing, SQL Server 2025.

FDE Full Course #10 In the previous video, we understood why we need Vector Databases and explored KNN and Vector Search.

In this session, explore how S3 Vectors complements high-performance vector databases, reducing storage and querying costs ...

... businesses looking to leverage vector storage for AI applications without the complexity and cost of traditional vector databases.

In this video, we talk about pgvector, why should you use it and when not? 00:00 – What is pgvector? 01:09 – Why use pgvector?

What exactly is a Vector Database? How is it different from traditional databases like SQL Server or MySQL? Why do modern AI ...

Google just turned a folder of plain text files into an official AI standard — and it quietly makes the expensive vector database ...

Need some help with a project or some consulting? Contact me here: https://www.neuralnine.com/services The Python Bible ...

Building a generative AI application on AWS but stuck on the data piece? This video breaks down everything you need to know ...

Join my free Skool community for access to the workflow seen in this video! https://www.skool.com/ai-automation-society/about ...

Hands-on RAG project: https://parsity.io/ai-with-rag Most devs think RAG = vector database. That's wrong. Retrieval-augmented ...

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

Welcome to Episode 10 of the Complete .NET AI Developer Series (2026)! Ready to understand one of the most important ...

For Online Training Registration: https://goo.gl/r6kJbB ▻ Call: +91-8179191999 Subscribe to our channel and hit the bell ...

Why can't ChatGPT just use a normal database? The answer will completely change how you think about AI. In this video, I break ...

Learn more about Types of AI agents here → https://ibm.biz/~CybnjCGya Your data may know what happened, but not always ...

Mentorship/On-the-Job Support/Consulting - https://calendly.com/antonputra/youtube or me@antonputra.com Benchmarks: ...

We all know PostgreSQL as a relational database for transactional workloads. But, at the same time, PostgreSQL can also be ...

In this video, Alejandro Duarte (Developer Relations Engineer at MariaDB) explains what vector embeddings are in the context of ...

AI startups such as Pinecone, Milvus, and Chromadb have raised millions of $ in the hot AI boom era. They all have a common ...

An explanation of vector databases and why they are becoming increasingly important. NucliaDB Github: ...

I don't know anyone who wants to search through billions of items individually when they need a lightning-fast similarity search.

VIDEO TITLE What is the Chroma Vector Database ? ✍️VIDEO DESCRIPTION ✍️ "Imagine you're building a cutting-edge ...

The Inverted File Index (IVF) is a core technique for speeding up similarity search in vector databases by grouping vectors into ...

What gives AI models long-term memory and prevents them from getting confused? The answer is a Vector Database. In this ...

In this tutorial, we'll build an LLM-powered agentic graph using LangChain and LangGraph to combine RAG ...

What if AI could remember meaning — not just words? In this video, we dive deep into the hidden world of Vector Databases ...

Struggling to figure out where to store AI embeddings? In this tutorial, we show how to use PostgreSQL with PGVector to store and ...

Are vector databases really necessary for Retrieval-Augmented Generation (RAG)? In this 60-second breakdown, Pankaj Sharma ...

ANNOY stands for Approximate Nearest Neighbors, Oh Yeah. It's a vector search algorithm that came out of Spotify. It is a rougher ...