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    Pythonlangchain-classicchainsflarebaseFlareChain
    Class●Since v1.0

    FlareChain

    Copy
    FlareChain()

    Bases

    Chain

    Attributes

    Methods

    Inherited fromChain

    Attributes

    Amemory: BaseMemory | None
    —

    Optional memory object.

    Acallbacks: CallbacksAverbose: boolAtags
    View source on GitHub
    : list[str] | None
    Ametadata: dict[str, Any] | None
    Acallback_manager: BaseCallbackManager | None
    —

    [DEPRECATED] Use callbacks instead.

    Amodel_config

    Methods

    Mget_input_schemaMget_output_schemaMinvokeMainvokeMraise_callback_manager_deprecation
    —

    Raise deprecation warning if callback_manager is used.

    Mset_verbose
    —

    Set the chain verbosity.

    Macall
    —

    Asynchronously execute the chain.

    Mprep_outputs
    —

    Validate and prepare chain outputs, and save info about this run to memory.

    Maprep_outputs
    —

    Validate and prepare chain outputs, and save info about this run to memory.

    Mprep_inputs
    —

    Prepare chain inputs, including adding inputs from memory.

    Maprep_inputs
    —

    Prepare chain inputs, including adding inputs from memory.

    Mrun
    —

    Convenience method for executing chain.

    Marun
    —

    Convenience method for executing chain.

    Mdict
    —

    Return dictionary representation of agent.

    Msave
    —

    Save the agent.

    Mapply
    —

    Utilize the LLM generate method for speed gains.

    Inherited fromRunnableSerializable(langchain_core)

    Attributes

    AnameAmodel_config

    Methods

    Mto_jsonMconfigurable_fieldsMconfigurable_alternatives

    Inherited fromSerializable(langchain_core)

    Attributes

    Alc_secretsAlc_attributesAmodel_config

    Methods

    Mis_lc_serializableMget_lc_namespaceMlc_idMto_jsonMto_json_not_implemented

    Inherited fromRunnable(langchain_core)

    Attributes

    AnameAInputTypeAOutputTypeAinput_schemaAoutput_schemaAconfig_specs

    Methods

    Mget_nameMget_input_schemaMget_input_jsonschemaMget_output_schemaMget_output_jsonschemaM
    attribute
    question_generator_chain: Runnable

    Chain that generates questions from uncertain spans.

    attribute
    response_chain: Runnable

    Chain that generates responses from user input and context.

    attribute
    output_parser: FinishedOutputParser

    Parser that determines whether the chain is finished.

    attribute
    retriever: BaseRetriever

    Retriever that retrieves relevant documents from a user input.

    attribute
    min_prob: float

    Minimum probability for a token to be considered low confidence.

    attribute
    min_token_gap: int

    Minimum number of tokens between two low confidence spans.

    attribute
    num_pad_tokens: int

    Number of tokens to pad around a low confidence span.

    attribute
    max_iter: int

    Maximum number of iterations.

    attribute
    start_with_retrieval: bool

    Whether to start with retrieval.

    attribute
    input_keys: list[str]

    Input keys for the chain.

    attribute
    output_keys: list[str]

    Output keys for the chain.

    method
    from_llm

    Creates a FlareChain from a language model.

    Flare chain.

    Chain that combines a retriever, a question generator, and a response generator.

    See Active Retrieval Augmented Generation paper.

    config_schema
    Mget_config_jsonschema
    Mget_graph
    Mget_prompts
    Mpipe
    Mpick
    Massign
    Minvoke
    Mainvoke
    Mbatch
    Mbatch_as_completed
    Mabatch
    Mabatch_as_completed
    Mstream
    Mastream
    Mastream_log
    Mastream_events
    Mtransform
    Matransform
    Mbind
    Mwith_config
    Mwith_listeners
    Mwith_alisteners
    Mwith_types
    Mwith_retry
    Mmap
    Mwith_fallbacks
    Mas_tool