Embeddings Index API for LLM/Semantic search
V
Volodymyr Pekh
An Embeddings Index API in a CMS helps improve search and recommendations by understanding the meaning of content, not just keywords. Here are the key benefits:
- Better Search: Finds results based on meaning, not exact words. Users get more relevant content.
- Personalization: Suggests content based on user behavior and preferences.
- Automatic Organization: Groups and categorizes content without manual effort.
- Natural Language Understanding: Handles more conversational queries.
- Faster Processing: Compares large datasets quickly, improving site speed.
- Multilingual Support: Works across different languages for better search and recommendations.
- Contextual Recommendations: Suggests content based on user interests and actions.
P.S. I'm aware there's an alpha plugin: https://github.com/perzeuss/strapi-plugin-embeddings - it's says early development but I haven't seen any updates since last year.