Llm, Rag, Knowledge Graphs, Vector Search, Retrieval Augmented.
OpenAI() text = text.replace("\n", " ") return client.embeddings.create(input = [text], model=model).data[0].embedding def calculate_similarity(embedding1, embedding2): # Placeholder for similarity calculation, e.g., using cosine similarity # Ensure both embeddings are numpy arrays for calculation