How can I use embeddings for semantic search inside a chatbot?

<!-- BEGIN COPY / PASTE -->
    import openai
    import numpy as np

    # Example function to get embeddings
    def get_embedding(text):
        response = openai.Embedding.create(input=text, model="text-embedding-ada-002")
        return np.array(response['data'][0]['embedding'])

    # Calculate similarity (e.g., cosine similarity)
    def cosine_similarity(vec1, vec2):
        return np.dot(vec1, vec2) / (np.linalg.norm(vec1) * np.linalg.norm(vec2))

    # Example usage
    user_query = "What is the weather like today?"
    query_embedding = get_embedding(user_query)
    # Compare with stored embeddings of potential responses
    <!-- END COPY / PASTE -->