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langchain/docs/use_cases/personal_assistants.md

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Personal Assistants (Agents)

Conceptual Guide

We use "personal assistant" here in a very broad sense. Personal assistants have a few characteristics:

  • They can interact with the outside world
  • They have knowledge of your data
  • They remember your interactions

Really all of the functionality in LangChain is relevant for building a personal assistant. Highlighting specific parts:

Specific examples of this include:

  • Baby AGI: a notebook implementing BabyAGI by Yohei Nakajima as LLM Chains