Optional memoryRun the core logic of this chain and add to output if desired.
Wraps _call and handles memory.
Optional config: BaseCallbackConfig | CallbacksOptional tags: string[]Invoke the chain with the provided input and returns the output.
Input values for the chain run.
Optional config: BaseCallbackConfigOptional configuration for the Runnable.
Promise that resolves with the output of the chain run.
Return a json-like object representing this chain.
Static deserializeLoad a chain from a json-like object describing it.
Static fromLLMAndA static method that creates an instance of MultiRetrievalQAChain from a BaseLanguageModel and a set of retrievers. It takes in optional parameters for the retriever names, descriptions, prompts, defaults, and additional options. It is an alternative method to fromRetrievers and provides more flexibility in configuring the underlying chains.
A BaseLanguageModel instance.
Optional defaults?: MultiRetrievalDefaultsOptional multiOptional retrievalQAChainOptional retrieverA new instance of MultiRetrievalQAChain.
Static fromOptional retrieverPrompts: PromptTemplate<any, any>[]Optional defaults: MultiRetrievalDefaultsOptional options: Omit<MultiRouteChainInput, "defaultChain">Use fromRetrieversAndPrompts instead
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A class that represents a multi-retrieval question answering chain in the LangChain framework. It extends the MultiRouteChain class and provides additional functionality specific to multi-retrieval QA chains.
Example