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Support Ollama (#261)
### What problem does this PR solve? Issue link:#221 ### Type of change - [x] New Feature (non-breaking change which adds functionality)
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13
README.md
13
README.md
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<div align="center">
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<a href="https://demo.ragflow.io/">
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<img src="web/src/assets/logo-with-text.png" width="350" alt="ragflow logo">
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<img src="web/src/assets/logo-with-text.png" width="520" alt="ragflow logo">
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</a>
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</div>
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* Running on all addresses (0.0.0.0)
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* Running on http://127.0.0.1:9380
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* Running on http://172.22.0.5:9380
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* Running on http://x.x.x.x:9380
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INFO:werkzeug:Press CTRL+C to quit
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```
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5. In your web browser, enter the IP address of your server as prompted and log in to RAGFlow.
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> In the given scenario, you only need to enter `http://IP_of_RAGFlow ` (sans port number) as the default HTTP serving port `80` can be omitted when using the default configurations.
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5. In your web browser, enter the IP address of your server and log in to RAGFlow.
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> In the given scenario, you only need to enter `http://IP_OF_YOUR_MACHINE` (sans port number) as the default HTTP serving port `80` can be omitted when using the default configurations.
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6. In [service_conf.yaml](./docker/service_conf.yaml), select the desired LLM factory in `user_default_llm` and update the `API_KEY` field with the corresponding API key.
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> See [./docs/llm_api_key_setup.md](./docs/llm_api_key_setup.md) for more information.
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@ -168,6 +168,11 @@ $ cd ragflow/docker
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$ docker compose up -d
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```
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## 🆕 Latest Features
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- Support [Ollam](./docs/ollama.md) for local LLM deployment.
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- Support Chinese UI.
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## 📜 Roadmap
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See the [RAGFlow Roadmap 2024](https://github.com/infiniflow/ragflow/issues/162)
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