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This repository shares end-to-end notebooks on how to use various features and integrations with Weaviate at the core!

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Welcome to the Weaviate Recipes repository!

Weaviate logo

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

It is broken out into two categories, Integrations and Weaviate features.

  1. Integrations: Notebooks showing you how to use Weaviate and a Partner's product:
    • Cloud Hyperscalers
    • Cloud Platforms
    • Data Pipeline
    • LLM Frameworks
    • Observability and Evaluation
  2. Weaviate Features:
    • Classification
    • Vector Search Evaluation
    • Filters
    • Generative Search
    • Hybrid Search
    • Media Search
    • Multi-Tenancy
    • Product Quantization
    • Reranking
    • Search with Vectors or Japanese
    • Similarity Search

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 or feel free to contribute one yourself!

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This repository shares end-to-end notebooks on how to use various features and integrations with Weaviate at the core!

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  • Jupyter Notebook 80.9%
  • MDX 18.5%
  • Python 0.3%
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