An in-depth look at using embeddings in LangChain, including integration options, rate limits, and errors. — In the field of natural language processing (NLP), embeddings have become a game-changer. They allow us to convert words and documents into numbers that computers can understand. These numerical representations, known as embeddings, are vital for tasks like understanding text, analyzing sentiments, and translating languages.