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by ggleason 1098 days ago
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...
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Oh, I should probably mention a blog I wrote describing how it works: https://github.com/terminusdb/technical-blogs/blob/main/blog...