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docs: update platform and usage documentation across multiple languagesDingTalk, Discord, and WeCom

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Junyan Qin
2026-01-05 11:55:26 +08:00
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docs/en/deploy/models/readme.md
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# Configure Models (Models)
## LLM Model
Models will be used by pipelines to process messages. The first model you configure will be set as the model for the default pipeline.
![arch](/assets/image/zh/deploy/models/arch.png)
You can add multiple models, and then select which model to use in the pipeline.
<img width="400px" src="/assets/image/zh/deploy/models/model_config.png" alt="model_config" />
Enter these four parameters: `Model Name`, `Model Provider`, `Request URL`, and `API Key`, then submit.
For model capabilities, please choose according to the specific model characteristics:
- Visual Capability: Needs to be enabled to recognize images
- Function Calling: Needs to be enabled to use Agent tools in conversations
:::info
*If you don't have an API Key, you can [get one from this relay station](https://api.qhaigc.net/)*
If you need to use third-party API relays or other model providers,
Select `OpenAI`
Fill in the relay's Base URL for the Request URL, for example:
<img width="400px" src="/assets/image/zh/deploy/models/other_provider.png" alt="other_provider" />
:::
## Embedding Model
Embedding models are used to compute vector representations of messages. If you need to use knowledge bases, please configure this model.
<img width="400px" src="/assets/image/zh/deploy/models/embedding_model.png" alt="embedding_model" />
Enter these four parameters: `Model Name`, `Model Provider`, `Request URL`, and `API Key`, then submit. After that, please configure the knowledge base to use this model.
### Using seekdb Built-in Embedding Model (Zero Configuration)
The system has integrated the official embedding model provided by seekdb, no parameters required.
- On the "Embedding Model" page, select "seekdb-built-in";
- Click "Save" to use it immediately;
- Then select this model in your knowledge base to take effect.
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window.location.href = '/en/usage/models/readme'
</script>