This repo covers end-to-end examples on the various features and integrations with Weaviate!
This folder shows you how to search. It covers vector search, hybrid search, generative search, multi-modal search, and how to search in Japanese.
Learn about the various Integrations with Weaviate! A few demos we have are:
- DSPy - Getting started with DSPy, Query to Blog Post demo, and more
- LlamaIndex - Indexes, Query Engines, Advanced RAG, and more
- Nomic - Visualize your embeddings
- Ragas - Evaluate your RAG application
Learn how to implement pointwise and listwise reranking with Cohere and OpenAI.
Multi-tenancy is a key feature in Weaviate, allowing for the efficient and secure management of data across multiple users or tenants.
Enabling Product Quantization (PQ) Vector Compression for your Class.
Classification using KNN and zero-shot learning.
Learn how to load data from a Spark Dataframe and feed it into Weaviate.
Please note this is an ongoing project, and updates will be made frequently. If you have a feature you would like to see, please drop it in the Weaviate Forum.