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from langchain_openai import ChatOpenAI, OpenAIEmbeddings from langchain_community.vectorstores import Chroma from langchain.chains import RetrievalQA from langchain_core.prompts import ChatPromptTemplate # RAG pipeline embeddings = OpenAIEmbeddings(model="text-embedding-3-small") vectorstore = Chroma.from_documents(docs, embeddings) retriever = vectorstore.as_retriever(search_kwargs={"k": 5}) prompt = ChatPromptTemplate.from_messages([ ("system", "Answer using only the provided context.\nContext: {context}"), ("human", "{question}"), ]) chain = RetrievalQA.from_chain_type( llm=ChatOpenAI(model="gpt-4o"), retriever=retriever, chain_type_kwargs={"prompt": prompt}, ) answer = chain.invoke({"query": "What is the refund policy?"})