Welcome to the Weaviate Recipes repository!

This repo covers end-to-end examples on the various features and integrations with Weaviate!

Search 🔎

This folder shows you how to search. It covers vector search, hybrid search, generative search, multi-modal search, and how to search in Japanese.

Integrations 🤝

Learn about the various Integrations with Weaviate! A few demos we have are:

1. DSPy - Getting started with DSPy, Query to Blog Post demo, and more
2. LlamaIndex - Indexes, Query Engines, Advanced RAG, and more
3. Nomic - Visualize your embeddings
4. Ragas - Evaluate your RAG application

Reranking ☝️

Learn how to implement pointwise and listwise reranking with Cohere and OpenAI.

Multi-Tenancy 👥

Multi-tenancy is a key feature in Weaviate, allowing for the efficient and secure management of data across multiple users or tenants.

Product Quantization 🗜️

Enabling Product Quantization (PQ) Vector Compression for your Class.

Classification ☯️

Classification using KNN and zero-shot learning.

Spark Connector 💥

Learn how to load data from a Spark Dataframe and feed it into Weaviate.

Feedback ❓

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.