How to run an embedded vector database in 10 lines of code
The Weaviate server can be run locally directly from client code
The Weaviate server can be run locally directly from client code
A discussion on data privacy and privacy-preserving machine learning for LLMs
Demo on how to ingest PDFs into Weaviate using Unstructured.
Weaviate now supports the PaLM models for embeddings and generative search through two new modules.
An introduction to creating generative feedback loops with LLMs in Weaviate.
Weaviate 1.19 introduces generative cohere module, gRPC API support, improved data types, and more.
The Weaviate Cloud Service is the easiest way to get a Weaviate cluster up and running within minutes. Learn more here.
A show-and-tell of how we created the Weaviate Retrieval Plugin for ChatGPT
Videos on authentication: an overview, how to log in, how to set it up, and core concepts - including recommendations.
Learn about Auto-GPT and how to give it long-term memory with Weaviate!
Learn about the different ranking models that are used for better search.
Learn how you can connect Weaviate to ChatGPT to generate customized responses.