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refine error response, add set api-key MD (#178)
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docs/llm_api_key_setup.md
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docs/llm_api_key_setup.md
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## Set Before Starting The System
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In **user_default_llm** of [service_conf.yaml](./docker/service_conf.yaml), you need to specify LLM factory and your own _API_KEY_.
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RagFlow supports the flowing LLM factory, and with more coming in the pipeline:
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> [OpenAI](https://platform.openai.com/login?launch), [Tongyi-Qianwen](https://dashscope.console.aliyun.com/model),
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> [ZHIPU-AI](https://open.bigmodel.cn/), [Moonshot](https://platform.moonshot.cn/docs/docs)
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After sign in these LLM suppliers, create your own API-Key, they all have a certain amount of free quota.
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## After Starting The System
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You can also set API-Key in **User Setting** as following:
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<div align="center" style="margin-top:20px;margin-bottom:20px;">
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<img src="https://github.com/infiniflow/ragflow/assets/12318111/e4e4066c-e964-45ff-bd56-c3fc7fb18bd3" width="1000"/>
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</div>
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