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recipes's Introduction

Welcome to the Weaviate Recipes repository!

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

Search ๐Ÿ”Ž

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 ๐Ÿค

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 โ˜๏ธ

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

Multi-Tenancy ๐Ÿ‘ฅ

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

Product Quantization ๐Ÿ—œ๏ธ

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

Classification โ˜ฏ๏ธ

Classification using KNN and zero-shot learning.

Spark Connector ๐Ÿ’ฅ

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

Feedback โ“

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.

recipes's People

Contributors

cshorten avatar dudanogueira avatar erika-cardenas avatar hsm207 avatar iamleonie avatar itsajchan avatar sebawita avatar sleeper avatar thomashacker avatar weisisheng avatar zainhas avatar

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