In a previous refactor, we moved the responsibility of querying and storing embeddings into the `Schema` class. Now, it's time for embedding generation. The motivation behind these changes is to isolate vector characteristics in simple objects to later replace them with a DB-backed version, similar to what we did with LLM configs. |
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ai_bot | ||
ai_helper | ||
ai_moderation | ||
automation | ||
embeddings | ||
sentiment | ||
summarization |