sndsabin/magento2-semantic-search
This module uses product embeddings to enhance Magento 2 default search with natural language understanding. - sndsabin/magento2-semantic-search
0 stars · 0 forks · PHP Topics: magento, embeddings, semantic-search, magento2-module, ai-search, adobe-commerce, magento2-ai-search, magento-ai-search
README
Magento2 Module: SemanticSearch sndsabin/module-semanticsearch
Main Functionality Installation Configuration Tested On
Main Functionality This module uses product embeddings to enhance Magento 2 default search with natural language understanding. It depends on Embedding module to generate the product embedding. Demo (Default Luma Store)
Model used for this demo: qllama/bge-small-en-v1.5 (384-dim embeddings). Results may vary depending on the embedding model used.
Query: "exercise dress"
Default Search Semantic Search
Query: "pretty dress"
Default Search Semantic Search
Installation
Install the module via composer:
composer require sndsabin/module-semanticsearch
Enable the module:
bin/magento module:enable SNDSABIN_Embedding SNDSABIN_SemanticSearch bin/magento setup:upgrade Configuration
⚠️ This module requires Embedding module, configure Embedding module first. Please refer to this for configuration.
⚠️ After configuration, generate product embeddings by following the instructions here. This process may take some time depending on your catalog size. You can monitor progress by checking the document count in the configured OpenSearch index.
Go to Stores → Configuration → Semantic Search → Settings General
Enable
Set it to Yes to enable the semantic search functionality.
Tested On:
Magento 2.4.8 PHP 8.4 RabbitMQ 4.1 OpenSearch 3.3