MergeAnswersNode module understanding

[prateekkohli21]

I am trying to use SmartScraperMultiGraph and have a small doubt regarding its operation. When answers from all the URLs are merged using the MergeAnswersNode module, it sends all those answers to the LLM at once. Are there chances that the combined size might exceed the context size of the LLM? I cannot see any chunking or other methods to reduce the context size in the MergeAnswersNode module. Is my understanding correct?

    smart_scraper_graph = SmartScraperMultiGraph(
    prompt = prompt,
    # also accepts a string with the already downloaded HTML code
    source=ref_url_list,
    config=graph_config
    )
    result = smart_scraper_graph.run()
    return result

[VinciGit00]

The chunking is made in the parse node, it should not create a context window overlap

[prateekkohli21]

Thanks for the reply @VinciGit00.

Suppose there are 50 URLs, MergeAnswersNode will combine the results from all of these and send them to LLM at once. Is my understanding correct?

If yes, couldn't these combined answers potentially exceed LLMs context size?

[VinciGit00]

not once, it depends of the tokens of your llm, if they overlap it they will use chunks

[prateekkohli21]

Sorry if the question seems very basic, but I couldn't find this information in the code for the MergeAnswersNode Module. It is just merging all the answers into 1 string and sending that complete string to PromptTemplate.

Is it the feature of Langchain's PromptTemplate to create chunks based on LLM's context size?

    # merge the answers in one string
    answers_str = ""
    for i, answer in enumerate(answers):
        answers_str += f"CONTENT WEBSITE {i+1}: {answer}\n"

    output_parser = JsonOutputParser()
    format_instructions = output_parser.get_format_instructions()

    template_merge = """
    You are a website scraper and you have just scraped some content from multiple websites.\n
    You are now asked to provide an answer to a USER PROMPT based on the content you have scraped.\n
    You need to merge the content from the different websites into a single answer without repetitions (if there are any). \n
    The scraped contents are in a JSON format and you need to merge them based on the context and providing a correct JSON structure.\n
    OUTPUT INSTRUCTIONS: {format_instructions}\n
    You must format the output with the following schema, if not None:\n
    SCHEMA: {schema}\n
    USER PROMPT: {user_prompt}\n
    WEBSITE CONTENT: {website_content}
    """

    prompt_template = PromptTemplate(
        template=template_merge,
        input_variables=["user_prompt"],
        partial_variables={
            "format_instructions": format_instructions,
            "website_content": answers_str,
            "schema": self.node_config.get("schema", None),
        },
    )

    merge_chain = prompt_template | self.llm_model | output_parser
    answer = merge_chain.invoke({"user_prompt": user_prompt})

    # Update the state with the generated answer
    state.update({self.output[0]: answer})

[VinciGit00]

yes