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    Pythonlangchain-classicchainsconversational_retrievalbaseChatVectorDBChain
    Class●Since v1.0

    ChatVectorDBChain

    Copy
    ChatVectorDBChain()

    Bases

    BaseConversationalRetrievalChain

    Attributes

    Methods

    Inherited fromBaseConversationalRetrievalChain

    Attributes

    Acombine_docs_chain: BaseCombineDocumentsChainAquestion_generator: LLMChain
    —

    The chain used to generate a new question for the sake of retrieval.

    Aoutput_key: str
    View source on GitHub
    A
    rephrase_question
    : bool
    —

    Whether or not to pass the new generated question to the combine_docs_chain.

    Areturn_source_documents: bool
    —

    Return the source documents.

    Areturn_generated_question: bool
    —

    Return the generated question as part of the final result.

    Aget_chat_history: Callable[[list[CHAT_TURN_TYPE]], str] | None
    —

    An optional function to get a string of the chat history.

    Aresponse_if_no_docs_found: str | None
    —

    If specified, the chain will return a fixed response if no docs

    Amodel_config
    Ainput_keys: list[str]
    Aoutput_keys: list[str]
    —

    The keys to use for the output.

    Methods

    Mget_input_schemaMsave
    —

    Save the agent.

    Inherited fromChain

    Attributes

    Amemory: BaseMemory | None
    —

    Optional memory object.

    Acallbacks: CallbacksAverbose: boolAtags: list[str] | NoneAmetadata: dict[str, Any] | NoneAcallback_manager: BaseCallbackManager | None
    —

    [DEPRECATED] Use callbacks instead.

    Amodel_configAinput_keys: list[str]Aoutput_keys: list[str]
    —

    The keys to use for the output.

    Methods

    Mget_input_schemaMget_output_schemaMinvokeMainvokeMraise_callback_manager_deprecation
    —

    Raise deprecation warning if callback_manager is used.

    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
    vectorstore: VectorStore
    attribute
    top_k_docs_for_context: int
    attribute
    search_kwargs: dict
    method
    from_llm

    Load chain from LLM.

    Chain for chatting with a vector database.

    M
    set_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.

    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