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### What problem does this PR solve? _Briefly describe what this PR aims to solve. Include background context that will help reviewers understand the purpose of the PR._ ### Type of change - [x] Documentation Update
31 lines
1.0 KiB
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31 lines
1.0 KiB
Markdown
---
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sidebar_position: 4
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slug: /llm_api_key_setup
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---
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# Set your LLM API key
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You have two ways to input your LLM API key.
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## Before Starting The System
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In **user_default_llm** of [service_conf.yaml](https://github.com/infiniflow/ragflow/blob/main/docker/service_conf.yaml), you need to specify LLM factory and your own _API_KEY_.
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RAGFlow supports the flowing LLMs, with more coming in the pipeline:
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- [OpenAI](https://platform.openai.com/login?launch)
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- [Tongyi-Qianwen](https://dashscope.console.aliyun.com/model),
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- [ZHIPU-AI](https://open.bigmodel.cn/),
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- [Moonshot](https://platform.moonshot.cn/docs)
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- [DeepSeek](https://platform.deepseek.com/api-docs/)
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- [Baichuan](https://www.baichuan-ai.com/home)
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- [VolcEngine](https://www.volcengine.com/docs/82379)
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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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