I'm building an API that allows you to train semantic search for RAGs
When your embedding provider is good, but could be better for your use-case.
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Introducing embeds.ai: an embedding playground to compare how embedding models work on a real world use case (retrieval augmented generation for Wikipedia articles + Elad Gil's High growth handbook) A few weeks ago, Shreyan and I were looking for an embedding model to use for RAG.