SUG Chennai | Scaling Semantic Search in Sitecore AI with Solr Dense Vectors and RAG | 11 Sep 26

Scaling Semantic Search in Sitecore AI with Solr Dense Vectors and RAG This session demonstrates how semantic search powered by Solr dense vector fields and AI embeddings transforms content discovery in Sitecore AI. It will showcase a live demo of semantic relevance using content examples (electric vs petrol vs ancient vehicles) and explain how this architecture can scale into AI Search with Retrieval‑Augmented Generation (RAG) by integrating a Large Language Model (LLM). Agenda: • Evolution from keyword search to semantic search in Sitecore AI • Live demo: semantic relevance & contextual filtering • Scalability & microservices design principles • Solr dense vector indexing & embedding generation using AWS Titan • Extending the architecture with an LLM layer for RAG‑based AI search • Q & A