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Update readme with seekdb embedded model instructions (#76)

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* Update readme with seekdb embedded model instructions

* doc: en and ja

---------

Co-authored-by: Junyan Qin <[email protected]>
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huanghuoguoguo
2025-12-20 23:13:07 +08:00
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co-authored by Junyan Qin
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docs/en/deploy/models/readme.md
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@@ -1,12 +1,14 @@
# 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.
![Model Configuration](/assets/image/zh/deploy/models/model_config.png)
<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.
@@ -26,6 +28,20 @@ Select `OpenAI`
Fill in the relay's Base URL for the Request URL, for example:
![Model Configuration](/assets/image/zh/deploy/models/other_provider.png)
<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.