Class for managing entity extraction and summarization to memory in chatbot applications. Extends the BaseChatMemory class and implements the EntityMemoryInput interface.

Example

const memory = new EntityMemory({
llm: new ChatOpenAI({ temperature: 0 }),
chatHistoryKey: "history",
entitiesKey: "entities",
});
const model = new ChatOpenAI({ temperature: 0.9 });
const chain = new LLMChain({
llm: model,
prompt: ENTITY_MEMORY_CONVERSATION_TEMPLATE,
memory,
});

const res1 = await chain.call({ input: "Hi! I'm Jim." });
console.log({
res1,
memory: await memory.loadMemoryVariables({ input: "Who is Jim?" }),
});

const res2 = await chain.call({
input: "I work in construction. What about you?",
});
console.log({
res2,
memory: await memory.loadMemoryVariables({ input: "Who is Jim?" }),
});

Hierarchy (view full)

Implements

  • EntityMemoryInput

Constructors

Properties

chatHistoryKey: string = "history"
entitiesKey: string = "entities"
entityCache: string[] = []
entityStore: BaseEntityStore
k: number = 3
llm: BaseLanguageModelInterface
aiPrefix?: string
humanPrefix?: string

Accessors

Methods

  • Method to load memory variables and perform entity extraction.

    Parameters

    • inputs: InputValues

      Input values for the method.

    Returns Promise<MemoryVariables>

    Promise resolving to an object containing memory variables.

  • Method to save the context from a conversation to a buffer and perform entity summarization.

    Parameters

    • inputs: InputValues

      Input values for the method.

    • outputs: OutputValues

      Output values from the method.

    Returns Promise<void>

    Promise resolving to void.

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