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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 ...

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

Weaviate Academy Unit 1: Introduction.

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

Learn how to use a vector database to build an image search engine powered by a deep neural network from scratch. Full Image ...

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

X: @DylanHumphreys LinkedIn: https://www.linkedin.com/in/dylanjhumphreys/ Colab notebook: ...

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 ...

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

00:00 - Introduction 03:57 - Install Weaviate 10:05 - Running Weaviate with Docker 11:57 - Working with a Weaviate schema ...

Weaviate Academy Unit 1: Vectors.

Meet Verba, the golden RAGtriever! Verba will not only help you build with Weaviate faster but also enable you to bring your own ...

Weaviate's new hot, warm, and cold storage tiers offer flexible options for managing resources to optimize search speed, accuracy ...

Dive into the latest update of Verba (v0.3) in our “Build it with Weaviate” series. In this episode, Edward guides you through the ...

This video provides a thorough comparison between Weaviate and Qdrant, two leading vector databases powering AI and ...

Weaviate Academy Unit 1: Query Examples (Part 1)

This paper (https://arxiv.org/abs/2502.00032) introduces a type of agentic querying called Function Calling that uses an LLM to ...

Selecting the right embedding model can make or break your AI application's performance. In this guide, JP from Weaviate walks ...

Our world is awash with complex, unstructured, text data. To effectively deal with these, you need a vector database.

Learn how to build and deploy an AI-powered search app using Weaviate, the open-source vector database for semantic and ...

RAG Applications are a popular way to incorporate AI into your use cases and make your data more accessible. To optimize your ...

We've updated Verba, our open-source Retrieval Augmented Generation (RAG) app, to the next version. Run models fully free ...

Welcome to our fast-track tutorial on Verba - The Golden RAGtriever! In this 7-minute guide, you'll learn how to deploy this ...

Weaviate Academy Unit 1: Index Welcome to Weaviate's YouTube Channel! Whether you're new to Weaviate or looking to ...

We've taken Verba, our open-source Retrieval Augmented Generation (RAG) app, to the next level with the newly released ...