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langchain/docs/use_cases/agents.md
Harrison Chase 985496f4be
Docs refactor (#480) 
Big docs refactor! Motivation is to make it easier for people to find
resources they are looking for. To accomplish this, there are now three
main sections:

- Getting Started: steps for getting started, walking through most core
functionality
- Modules: these are different modules of functionality that langchain
provides. Each part here has a "getting started", "how to", "key
concepts" and "reference" section (except in a few select cases where it
didnt easily fit).
- Use Cases: this is to separate use cases (like summarization, question
answering, evaluation, etc) from the modules, and provide a different
entry point to the code base.

There is also a full reference section, as well as extra resources
(glossary, gallery, etc)

Co-authored-by: Shreya Rajpal <ShreyaR@users.noreply.github.com>
2023-01-02 08:24:09 -08:00

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Agents

Agents are systems that use a language model to interact with other tools. These can be used to do more grounded question/answering, interact with APIs, or even take actions. These agents can be used to power the next generation of personal assistants - systems that intelligently understand what you mean, and then can take actions to help you accomplish your goal.

Agents are a core use of LangChain - so much so that there is a whole module dedicated to them. Therefor, we recommend that you check out that documentation for detailed instruction on how to work with them.