The popularity of LLMs has made vector embeddings popular and useful. You have to create embeddings for all of your data; whether that is text, speech or a mixture of both. With these embeddings, you also want the ability to retrieve them and send it to an LLM in real time.
Vector Embeddings: Essential for LLM Applications and Real-Time Retrieval
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