after formatting:    The following is a friendly conversation between a human and an AI. The AI is talkative and provides lots of specific details from its context.     If the AI does not know the answer to a question, it truthfully says it does not know. The AI ONLY uses information contained in the "Relevant Information" section and does not hallucinate.        Relevant Information:                Conversation:    Human: My name is James and I'm helping Will. He's an engineer.    AI:        > Finished chain.    " Hi James, it's nice to meet you. I'm an AI and I understand you're helping Will, the engineer. What kind of engineering does he do?"conversation_with_kg.predict(input="What do you know about Will?")            > Entering new ConversationChain chain...    Prompt after formatting:    The following is a friendly conversation between a human and an AI. The AI is talkative and provides lots of specific details from its context.     If the AI does not know the answer to a question, it truthfully says it does not know. The AI ONLY uses information contained in the "Relevant Information" section and does not hallucinate.        Relevant Information:        On Will: Will is an engineer.        Conversation:    Human: What do you know about Will?    AI:        > Finished chain.    ' Will is an engineer.'PreviousEntityNextConversation SummaryUsing memory with LLMUsing in a chainCommunityDiscordTwitterGitHubPythonJS/TSMoreHomepageBlogCopyright ¬© 2023 LangChain, Inc.
This type of memory uses a knowledge graph to recreate memory.
This type of memory uses a knowledge graph to recreate memory. ->: after formatting:    The following is a friendly conversation between a human and an AI. The AI is talkative and provides lots of specific details from its context.     If the AI does not know the answer to a question, it truthfully says it does not know. The AI ONLY uses information contained in the "Relevant Information" section and does not hallucinate.        Relevant Information:                Conversation:    Human: My name is James and I'm helping Will. He's an engineer.    AI:        > Finished chain.    " Hi James, it's nice to meet you. I'm an AI and I understand you're helping Will, the engineer. What kind of engineering does he do?"conversation_with_kg.predict(input="What do you know about Will?")            > Entering new ConversationChain chain...    Prompt after formatting:    The following is a friendly conversation between a human and an AI. The AI is talkative and provides lots of specific details from its context.     If the AI does not know the answer to a question, it truthfully says it does not know. The AI ONLY uses information contained in the "Relevant Information" section and does not hallucinate.        Relevant Information:        On Will: Will is an engineer.        Conversation:    Human: What do you know about Will?    AI:        > Finished chain.    ' Will is an engineer.'PreviousEntityNextConversation SummaryUsing memory with LLMUsing in a chainCommunityDiscordTwitterGitHubPythonJS/TSMoreHomepageBlogCopyright ¬© 2023 LangChain, Inc.