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Harrison ChaseandShreya Rajpal 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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Bash

It can often be useful to have an LLM generate bash commands, and then run them. A common use case this is for letting it interact with your local file system. We provide an easy util to execute bash commands.

In [1]:

from langchain.utilities import BashProcess

In [2]:

bash = BashProcess()

In [3]:

print(bash.run("ls"))

bash.ipynb
google_search.ipynb
python.ipynb
requests.ipynb
serpapi.ipynb

In [ ]:

1.6 KiB Raw Blame History

Bash

1.6 KiB

Raw Blame History