[kordlessagain]

I've implemented alternate embeddings in SlothAI using Instructor, which is running an early preview at https://ai.featurebase.com/. Currently working on the landing page, which I'm doing manually because ChatGPT is down.

The plan is to add Llama 2 completions to the processors, which would include dictionary completion (keyterm/sentiment/etc), chat completion, code completion, for reasons exactly like what we're discussing.

Here's the code for the Instructor embeddings: https://github.com/FeatureBaseDB/Laminoid/blob/main/sloth/sl...

To do Instructor embeddings, do the imports then reference the embed() function. It goes without saying that these vectors can't be mixed with other types of vectors, so you would have to reindex your data to make them compatible.