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