Search API Solr Dense Vector Module Adds AI Chatbot Integration

Staff Reporter

Kevin Quillen has updated the Search API Solr Dense Vector module to support the Search RAG Tool included in the Drupal AI module, enabling AI chatbots to access and respond with indexed content from Solr 9 using vector-based search.

The update, released as version 1.0.0-alpha6, allows integration with AI providers via the Drupal AI framework. Developers can select embedding models, configure vector dimensions, and choose similarity functions when indexing content for retrieval.

The module requires Solr 9.6 or higher, Search API Solr 4.x, the Drupal AI module, and a configured embedding provider. Compatibility has been confirmed with OpenAI and Ollama-based models. Switching providers or embedding models may require schema updates and reindexing.

Search API Solr Dense Vector module builds on earlier dense vector work by contributors eojthebrave and seanB and remains under active development. Current Solr limitations restrict storage to one dense vector field per index.

For details and setup instructions, visit the Search API Solr Dense Vector module page on Drupal.org.

Drupal 10

Drupal AI

Drupal 11

Velir

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