Все публикации

0:02:36

New embedding model: Contextual Document Embeddings

0:34:09

Agentic RAG with Erika Cardenas - Weaviate Podcast #109!

0:40:05

Let Me Speak Freely? with Zhi Rui Tam - Weaviate Podcast #108!

0:03:27

Optimize your vector database's search speed, accuracy, and costs

0:00:59

ACORN for 10x faster filtered vector searches

0:58:24

SWE-bench with John Yang and Carlos E. Jimenez - Weaviate Podcast #107!

0:00:54

How can AI and teachers revolutionize education together?

0:01:00

ANN Algorithms in a nutshell

0:51:16

AI in Education with Rose E. Wang - Weaviate Podcast #106!

0:00:59

AI Agent Optimization: Understanding the 'Pareto Frontier'

0:56:51

Compound AI Systems with Philip Kiely - Weaviate Podcast #105!

0:01:00

How to set up Weaviate Embedded with Python

0:01:02

Hack Night at GitHub with Weaviate

0:02:45

Late chunking improves context recall in RAG pipelines

0:00:53

What is HNSW?

0:00:59

Vector Indexing Explained in 60 Seconds

0:00:59

AI that optimizes itself? 🤔

0:02:40

Matryoshka Representation Learning (MRL) for ML tasks and vector compression

0:56:25

Dive into Chunking Strategies for RAG with Zain 💚

1:00:44

AI Agents That Matter with Sayash Kapoor and Benedikt Stroebl - Weaviate Podcast #104!

0:13:38

Chat With Your Data With Verba

1:00:37

MIPRO and DSPy with Krista Opsahl-Ong! - Weaviate Podcast #103

0:00:47

Range Index

0:01:00

Vector Embeddings