RAG / semantic search mentioned but no vector database infrastructure visible

This check looks for whether RAG (retrieval-augmented generation, an AI technique that looks up your own content before answering) or 'semantic search' claims in your copy are backed by a visible vector database, such as Pinecone, Qdrant, Weaviate, or pgvector. RAG is mentioned on this site, but no vector database infrastructure is visible. RAG requires a vector database to work at all, so mentioning it without any visible infrastructure suggests the capability may be aspirational, or simply running on a managed service that doesn't show up publicly. Either way, it's worth verifying before a buyer relies on the claim during procurement. Your engineering team should verify the claim internally. If RAG is real but running on a hidden managed vector database, that's fine, just note it for procurement disclosure when asked. If it's aspirational, either pull the marketing claim or ship a working version using Supabase's pgvector, which is free, or Turbopuffer, within one to two weeks.