Feature/embeddings #2
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… history injection of summary. Should probably inject in user response as system prompt is getting large
…ckager and then call that embedding package from my createConversation service with the question answer and user response and then let the embedding call the chatGPT package to get summary items, then take those summary items and call the microservice to embed them, and then call the repo/database to store them in conversation_embeddings, and then search conversation embeddings for relevant items to the current response and then return those releveant items to the conversation service
…eing stored in table as expected. Now running into type error with s.Repo.GetSimilarEmbeddings
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