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648b3b3909
Thanks for all your hard work! I noticed a small typo in the bash util doc so here's a quick update. Additionally, my formatter caught some spacing in the `.md` as well. Happy to revert that if it's an issue. The main change is just ``` - A common use case this is for letting it interact with your local file system. + A common use case for this is letting the LLM interact with your local file system. ``` ## Testing `make docs_build` succeeds locally and the changes show as expected ✌️ <img width="704" alt="image" src="https://user-images.githubusercontent.com/17773666/221376160-e99e59a6-b318-49d1-a1d7-89f5c17cdab4.png">
36 lines
1.4 KiB
Markdown
36 lines
1.4 KiB
Markdown
# Key Concepts
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## Python REPL
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Sometimes, for complex calculations, rather than have an LLM generate the answer directly,
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it can be better to have the LLM generate code to calculate the answer, and then run that code to get the answer.
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In order to easily do that, we provide a simple Python REPL to execute commands in.
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This interface will only return things that are printed -
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therefore, if you want to use it to calculate an answer, make sure to have it print out the answer.
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## Bash
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It can often be useful to have an LLM generate bash commands, and then run them.
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A common use case for this is letting the LLM interact with your local file system.
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We provide an easy component to execute bash commands.
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## Requests Wrapper
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The web contains a lot of information that LLMs do not have access to.
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In order to easily let LLMs interact with that information,
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we provide a wrapper around the Python Requests module that takes in a URL and fetches data from that URL.
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## Google Search
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This uses the official Google Search API to look up information on the web.
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## SerpAPI
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This uses SerpAPI, a third party search API engine, to interact with Google Search.
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## Searx Search
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This uses the Searx (SearxNG fork) meta search engine API to lookup information
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on the web. It supports 139 search engines and is easy to self-host
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which makes it a good choice for privacy-conscious users.
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