chatbot.py

"""
chatbot.py

Module to create a chatbot using RetrievalQA and the ChromaDB embeddings.
"""

from langchain_openai import OpenAI
from langchain.chains import RetrievalQA

def create_chatbot(vector_store):
    """Creates a chatbot that retrieves and answers questions.

    Args:
        vector_store (Chroma): Vector store with document embeddings.

    Returns:
        RetrievalQA: A retrieval-based QA system.
    """
    llm = OpenAI(temperature=0.5)
    retriever = vector_store.as_retriever(search_type="mmr", k=3)
    
    qa = RetrievalQA.from_chain_type(
        llm=llm,
        chain_type="stuff",
        retriever=retriever,
        return_source_documents=True
    )
    return qa

def ask_question(qa, query):
    """Queries the chatbot and returns the answer.

    Args:
        qa (RetrievalQA): The QA system.
        query (str): The user query.

    Returns:
        str: The answer with source information if available.
    """
    try:
        response = qa.invoke({"query": query})
        answer = response.get('result', 'No answer found.')
        sources = response.get('source_documents', [])

        return f"Answer: {answer}\n"
    except Exception as e:
        print(f"Error processing query '{query}': {e}")
        return f"Error: {e}"