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GenerateAnswerNodeKLevel

Overview​

GenerateAnswerNodeKLevel is a node responsible for compressing the input tokens and storing the document in a vector database for retrieval. Relevant chunks are stored in the state. It allows scraping of big documents without exceeding the token limit of the language model.

Attributes​

  • llm_model: An instance of a language model client, configured for generating answers.
  • verbose (bool): A flag indicating whether to show print statements during execution.

Args​

  • input (str): Boolean expression defining the input keys needed from the state.
  • output (List[str]): List of output keys to be updated in the state.
  • node_config (dict): Additional configuration for the node.
  • node_name (str): The unique identifier name for the node, defaulting to "GANLK".

Example​

generate_answer_node = GenerateAnswerNodeKLevel(
    input="vectorial_db",
    output=["answer"],
    node_config={
        "llm_model": llm_model_instance,
        "embedder_model": embedder_model_instance,
        "verbose": True,
        "force": False,
        "script_creator": False,
        "is_md_scraper": False,
        "additional_info": "Additional information"
    }
)