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    Pythonlangchain-classicchainshydebaseHypotheticalDocumentEmbedder
    Class●Since v1.0

    HypotheticalDocumentEmbedder

    Copy
    HypotheticalDocumentEmbedder()

    Bases

    ChainEmbeddings

    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.

    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 fromEmbeddings(langchain_core)

    Methods

    Maembed_documentsMaembed_query

    Inherited fromRunnableSerializable(langchain_core)

    Attributes

    Aname

    Methods

    Mto_jsonMconfigurable_fieldsMconfigurable_alternatives

    Inherited fromSerializable(langchain_core)

    Attributes

    Alc_secretsAlc_attributes

    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
    base_embeddings: Embeddings
    attribute
    llm_chain: Runnable
    attribute
    model_config
    attribute
    input_keys: list[str]

    Input keys for Hyde's LLM chain.

    attribute
    output_keys: list[str]

    Output keys for Hyde's LLM chain.

    method
    embed_documents

    Call the base embeddings.

    method
    combine_embeddings

    Combine embeddings into final embeddings.

    method
    embed_query

    Generate a hypothetical document and embedded it.

    method
    from_llm

    Load and use LLMChain with either a specific prompt key or custom prompt.

    Generate hypothetical document for query, and then embed that.

    Based on https://arxiv.org/abs/2212.10496

    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