I was looking at various forms of indexing solutions to solve search and clustering problems with TerminusDB for clients. When I compared solutions against embeddings from LLMs, they LLMs were just far easier to work with and got much better results. I believe traditional text indexing will die quickly, as will a lot of the Entity Resolution and traditional clustering methods to be replaced completely by LLM's. We found them so compelling we wrote our own open source vector database sidecar: https://github.com/terminusdb-labs/terminusdb-semantic-index...