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How do you chose the best embedding model for your use case? (and how do they even work, anyways?) - Learn more in this ...
25,584 views
11 months ago
Vector databases are rapidly growing in popularity as a way to add long-term memory to LLMs like GPT-4, LLaMDA, and LLaMA.
1,091,278 views
2 years ago
Vector Databases simply explained. Learn what vector databases and vector embeddings are and how they work. Then I'll go ...
607,511 views
Weaviate Academy Unit 1: Introduction.
12,793 views
Weaviate vs Qdrant | Which Vector Database is BETTER in 2025? (FULL REVIEW!) Dive into the world of search engines with this ...
8,524 views
9 months ago
Learn how to use a vector database to build an image search engine powered by a deep neural network from scratch. Full Image ...
318,086 views
Learn how to use Iterators in Weavy – a new workflow-scaling tool that lets you run multiple prompts, images, or inputs at the ...
10,372 views
1 month ago
This video is an in-depth tutorial on building a Text-to-SQL Agent using LangChain in Python. In this video, we'll go beyond simple ...
11,332 views
5 months ago
Learn how to use vector search and embeddings to easily combine your data with large language models like GPT-4. You will first ...
325,129 views
Hey everyone! Thanks so much for watching this video exploring DSPy's GEPA optimizer to train a Listwise Reranker! Here is the ...
4,817 views
4 months ago
This is a complete, end-to-end masterclass on building a revolutionary AI-powered database system that combines **RAG**, ...
2,575 views
2 months ago
Join my Skool community: https://www.skool.com/aiworkshop/about Template for this workflow: ...
140,046 views
1 year ago
New to Weavy? This is your starting point. In this tutorial, you'll learn how to navigate the platform, connect your first prompt, and ...
45,583 views
7 months ago
Free Template & Community: https://bit.ly/OmniEmilSkool Work With Us: https://bit.ly/OmniEmilWeb In this video, you'll learn ...
23,623 views
10 months ago
Learn how to build an AI-powered support center assistant using n8n and Qdrant as a vector store knowledge base. Automate ...
14,146 views
Selecting the right embedding model can make or break your AI application's performance. In this guide, JP from Weaviate walks ...
3,424 views
8 months ago
X: @DylanHumphreys LinkedIn: https://www.linkedin.com/in/dylanjhumphreys/ Colab notebook: ...
1,194 views
Code: https://github.com/entbappy/Complete-Generative-AI-Course-on-YouTube Welcome to this comprehensive tutorial on ...
84,719 views
All you need is just a click away: -https://euron.one Welcome back, everyone! Dive into the world of AI with my step-by-step guide ...
1,745 views
No server needed to run a vector database! With Weaviate's open source packages, you can run a Weaviate instance directly in ...
3,275 views
Weaviate Academy Unit 1: Vectors.
7,672 views
00:00 - Introduction 03:57 - Install Weaviate 10:05 - Running Weaviate with Docker 11:57 - Working with a Weaviate schema ...
10,857 views
4 years ago
Meet Verba, the golden RAGtriever! Verba will not only help you build with Weaviate faster but also enable you to bring your own ...
6,759 views
This video provides a thorough comparison between Weaviate and Qdrant, two leading vector databases powering AI and ...
1,164 views
6 months ago
Weaviate Academy Unit 1: Query Examples (Part 1)
7,749 views
Weaviate's new hot, warm, and cold storage tiers offer flexible options for managing resources to optimize search speed, accuracy ...
413 views
Dive into the latest update of Verba (v0.3) in our “Build it with Weaviate” series. In this episode, Edward guides you through the ...
8,736 views
