Artificial Intelligence, Machine Learning, Python, Data Science, Deep Learning.
embeddings).as_retriever(search_kwargs={"k":5}) return vector_index # Function to create RAG QA Chain def create_rag_qa_chain(model, vector_index): """ Creates a Retrieval-Augmented Generation QA chain. Args: model (ChatGoogleGenerativeAI): Configured Gemini model. vector_index (Retriever): Vector