AI Based Recommendation
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The Recommend AI Drupal module leverages OpenAI Embeddings to revolutionize content recommendations on your website. This module focuses on providing intelligent and contextually relevant content suggestions by employing advanced vectorization techniques. By converting the current page content into vectors, Recommend AI identifies semantic relationships and recommends content that shares similarities, offering an enriching user experience.
Key Features:
- OpenAI Embeddings: Utilizes OpenAI Embeddings to convert content into vectors for enhanced contextual understanding.
- Semantic Similarity: Recommends content based on semantic similarity to the currently viewed content.
- Efficient Processing: Optimizes content recommendation without real-time data processing, ensuring efficiency.
- Simplicity in Integration: Seamless integration into your Drupal site without the need for complex user personalization.
How it Works:
- Vectorization: Converts the current page content into vectors using OpenAI Embeddings.
- Semantic Analysis: Identifies semantic relationships to determine content similarity.
- Contextual Recommendations: Suggests content with similar context and semantic relevance.
Installation:
- Install and enable the module as you would with any Drupal module.
- Configure the Open AI module settings ( API keys )
- Configure the OpenAI Text Embeddings module settings ( Vector Client API keys ) - For now we only support Pinecone.
- Place the Recommend AI content block in the desired region.
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Releases
| Version | Type | Core | Release date | |
|---|---|---|---|---|
| 1.0.x-dev | Dev | Jan 8, 2024 |