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docs/llmchain.md
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The `LLMChain` is a simple chain that takes in a prompt template, formats it with the user input, and returns the response from an LLM.
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More information about the [LLMChain](https://python.langchain.com/en/latest/modules/chains/generic/llm_chain.html){.internal-link target=\_blank} can be found in the LangChain documentation.
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---
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### ⛓️LangFlow example
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[Download Flow](data/llm_chain.json){: .md-button download="llm_chain"}
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The `PromptTemplate` is a simple template that takes in a product name and returns a prompt. The prompt is used to generate the response from the LLM.
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**Template**:
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```txt
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I want you to act as a naming consultant for new companies.
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Here are some examples of good company names:
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- search engine, Google
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- social media, Facebook
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- video sharing, YouTube
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The name should be short, catchy, and easy to remember.
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What is a good name for a company that makes {product}?
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```
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<br>
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For the example, we used `OpenAI` as the LLM, but you can use any LLM that has an API. Make sure to get the API key from the LLM provider. For example, [OpenAI](https://platform.openai.com/){.internal-link target=\_blank} requires you to create an account to get your API key.
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<br>
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Check out the [OpenAI](https://platform.openai.com/docs/introduction/overview){.internal-link target=\_blank} documentation to learn more about the API and the options that contain in the node.
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