WordPress & WooCommerce AI tools - blog

4 improvements: – 90% discount – texts can be 4 times longer, from 2048 to 8192 – Embeddings size is also much shorter, “making the

e-commerce search main features are filters and facets (aggregations). While most of Vector search engines are now able to filter results with more or less

We’ve just completed the integration of SeMI Technologies Weaviates’s CLIP module with WooCommerce front-end products search. Visitors can now explore and retrieve the full catalog images from text

With Weaviate for Hugging Face models like CLIP https://weaviate.io/developers/weaviate/current/retriever-vectorizer-modules/multi2vec-clip.html or Resnet https://weaviate.io/developers/weaviate/current/retriever-vectorizer-modules/img2vec-neural.html, image similarity search is now a dream come true for almost any WooCommerce.

Also included, the new SeMI Technologies Weaviate Hugging Face endpoints API. More on WPSOLR 2.6: /forums/topic/release-22-6/ More on Google Retail search: /feature-google-retail/ More on Weaviate:

WPSOLR 22.7 will add the new SeMI Technologies Weaviate Question Answering module for OpenAI https://weaviate.io/developers/weaviate/current/reader-generator-modules/qna-openai.html You will be able to choose any Transformer Vectorizer https://weaviate.io/developers/weaviate/current/modules/index.html,

At #wpsolr, we’ve been asked many times to add personalization and recommendations to our existing search engines. Like Algolia or Google Retail. Or to our

Finally, the very first live demo of WooCommerce and Google Cloud Retail search This is a plain Flatsome demo, with 2,000 WooCommerce products, including: –

(a.k.a Is it possible to use embeddings on long WooCommerce products descriptions for vector search ?) The context: I’ve tested with success vector search on

#WPSOLR is announcing the upcoming integration of Google Retail Search to its WooCommerce add-on !! (Google provides a search API for e-Commerce, named Google Retail

Announcing Hugging Face Endpoints API integration to WPSOLR’s SeMI Technologies Weaviate search add-on for WordPress and WooCommerce . Let the Hugging Face Endpoints https://huggingface.co/inference-endpoints API

Based on the current demo https://demo-woocommerce-flatsome-cloudways.wpsolr.com/shop/: – WooCommerce – Flatsome theme – Cloudways hosting – 2000 realistic products But instead of Elasticsearch, we’ll use: –

The current state of the art hybrid search is a two or three phases sequential approach: efficient candidates retrieval (BM25), followed by a vector reranking.

WordPress & WooCommerce owners who wants to self-host Weaviate without costly/challenging GPU(s) can outsource the vectorization of their content to the on-demand https://huggingface.co/ inference API.

Following recent experience with a well-known recommendations API, and another one for vector embeddings, I’m beginning to doubt this. Even on a small scale, prices

WPSOLR will integrate Algolia Recommend https://www.algolia.com/products/recommendations/ as its first recommendation brick.   #algolia, being already part of the #searchengines supported by WPSOLR, is the most

Thanks to SeMI Technologies #weaviate dedicated module, both indexed documents and queries are transparently vectorized calling the OpenAI‘s embeddings API. Results “close” to the query are then retrieved

This is an exciting moment, where #vectorsearch is getting to the rich #wordpress and #woocommerce community: site and shop owners, agencies, or even specialised hosting

Your dream comes true, as #WPSOLR 22.5 will integrate the Google Retail API ! We always wanted to integrate Google search, but until now the

Feel free to describe your requirements in comments, or create a new feature request at /forums/forum/technical-configuration-issues/new-features-requests/ For exemple: – Do you prefer to build your

WPSOLR 22.4 will introduce a brand new feature: content #recommendations (also named “More like this”, “Similar items”, …) This feature was asked for a long

WPSOLR suggestions have been integrated with SeMI Technologies  Weaviate qna-transformer reader.

Would it be nice to retrieve your puppies and kittens images among tens of thousands of untagged images from the WordPress media library search bar?

We’ve built a new Flatsome WooCommerce demo with 100,000 products. Suggestions from WPSOLR are displayed in 250ms. You can try the live demo here: (demo

When you install WordPress, you’ll get an almost perfect page speed score. But suddenly your score gets lower and lower. Why? Well, probably because of

Vespa.ai is under consideration as the second semantic search engine API integrated with WPSOLR, after Weaviate. Vespa is a big data, production-ready, hybrid semantic and

In an earlier post, I mentioned how quickly vector search was innovating. Here is an exemple, with Weaviate’s new module to manage vectorization of both

The great thing about Vector search is its almost infinite range: every day new ML models come out with amazing new capabilities. Semantic text search,

With the question “what color are the leashes ?“, Weaviate Q&A module suggests all colors for all products in our WooCommerce. The magic is that

14 million monthly visits with a mobile PageSpeed score of 30 ! Who said Core Web vitals were fundamental in 2022 ? I don’t know

WooCommerce search requires so many crafts! (recommendation, personnalisation, trending, multi-modal, BERT NLP …) Does it mean non-opinionated OSS e-commerce search solutions are reserved to big

While Data Lakes rose on cheap limitless scalable block storage (S3, GCP, Azure), the Lucene search ecosystem is still working on traditional file storage No

I always thought it was reserved to elite users of  Google Analytics 360 But in fact, you can synchronize “normal” Google Analytics 4 properties to

After looking for a way to re-rank WPSOLR search results based on users interaction history, we are currently thinking of Amazon Personalize Ranking solution. It

I liked this nice presentation of Conversion Rate Optimisation (CRO) from Vaimo. It shows that both Klevu and GA are required to track the customers’

Blown away by the quality of Dataiku Academy 101! 100x better than tutorials, with a systematic presentation of both concepts and their screens. We all

I stumbled upon this Google blog post about Vertex Matching Engine. It is the current planet-scale Vector search technology used  at Google search, Youtube recommendations,

Download WPSOLR Install WPSOLR on a Kinsta internal’s *.kinsta.cloud url Choose a hosting for Solr, Elasticsearch, OpenSearch, Weaviate or Algolia That’s it. No license, no

The OpenSearch indices are now managed with the official OpenSearch PHP client https://github.com/opensearch-project/opensearch-php. All tests, including Apache Tika ingestion, are green. Will be released with

There are many excellent search APIs to start your integration: symbolic (Elasticsearch, Solr, Algolia), semantic (Weaviate, Pinecone, Milvus, Vespa). But in all projects, there is

“You see, in this world, there is two kinds of search engines, my friend: those with both ANN and filters and those with either”

Software eats the world, ML eats software …. but is Vector database eating ML now?

Train a huge ML model Convert your data to vectors Store your vectors Convert your inference input to vector Return top-n results with an ANN

Download WPSOLR Install WPSOLR on a WPEngine internal’s *.wpengine.com url Choose a hosting for Solr, Elasticsearch, OpenSearch, Weaviate or Algolia That’s it. No license, no

The famous mantra “machine learning is 5% about models and 95% about data” is true with vector databases. Before querying your vector space, you need