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Home » Your configuration journey, step by step » Configure your indexes » Create a Weaviate index

Create a Weaviate index

1014 views 0 December 21, 2022 Updated on December 22, 2022

From WPSOLR 22.3. You will learn how to create a Weaviate index for WordPress and WooCommerce with a few clicks.

 

1 – What is Weaviate search?

“Weaviate is a low-latency vector search engine with out-of-the-box support for different media types (text, images, etc.). It offers Semantic Search, Question-Answer Extraction, Classification, Customizable Models (PyTorch/TensorFlow/Keras), etc.”

Image rise-of-vector-data-5.png of Create a Weaviate index
Image from https://www.pinecone.io/learn/vector-search-basics/

 

Weaviate is therefore an open source search engine using sophisticated machine learning models. WPSOLR sends post types data to Weaviate, which converts and stores text/images as numbers (vectors). During the search, the query text/image is also converted to numbers, and compared to the stored numbers in the database to fetch the results.

Weaviate can use many models, open source or closed, from: HuggingFace, OpenAI, Cohere.

 

2 – Create the Weaviate index from WPSOLR admin

2.1 The WPSOLR new index form

Image wpsolr-weaviate-new-index-top.png of Create a Weaviate index

  •  (1), (2), then (3) to edit a new index
  • (4) Select “Weaviate” among index types
  • (5) Select “No hosting service” among Hosting Services

You will now choose a “vectorizer”, a model that will convert your data to vectors. There are several vectorizers available, each one described in its own chapter below.

 

2.2 Choose a vectorizer for your index

  • Transformers
  • CLIP
  • HuggingFace
  • OpenAI
  • Cohere

 

2.3 Add other modules

  • Question Answering

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Related Articles
  • Hybrid search
  • Question Answering
  • Cohere
  • OpenAI
  • HuggingFace
  • CLIP

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