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src/content/docs/autorag/configuration/index.mdx

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| [Maximum number of results](/autorag/configuration/retrieval-configuration/) | yes | Maximum number of vector matches returned (`top_k`) |
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| [Generation model](/autorag/configuration/models/) | yes | Model used to generate the final response |
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| [Generation system prompt](/autorag/configuration/system-prompt/) | yes | Custom system prompt to guide response generation |
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| [Similarity caching](/autorag/configuration/similarity-cache/) | yes | Enable or disable caching of responses for similar (not just exact) prompts |
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| [Similiarty caching threshold](/autorag/configuration/similarity-cache/) | yes | Controls how similar a new prompt must be to a previous one to reuse its cached response |
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| [AI Gateway](/ai-gateway/) | yes | AI Gateway for monitoring and controlling model usage |
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| [Similarity caching](/autorag/configuration/cache/) | yes | Enable or disable caching of responses for similar (not just exact) prompts |
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| [Similiarty caching threshold](/autorag/configuration/cache/) | yes | Controls how similar a new prompt must be to a previous one to reuse its cached response |
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| [AI Gateway](/ai-gateway) | yes | AI Gateway for monitoring and controlling model usage |
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| AutoRAG name | no | Name of your AutoRAG instance |
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| Service API token | yes | API token granted to AutoRAG to give it permission to configure resources on your account. |
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src/content/docs/autorag/configuration/models.mdx

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AutoRAG currently only supports **Workers AI** as the model provider. Usage of models through AutoRAG contributes to your Workers AI usage and is billed as part of your account.
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If you've connected your project to [AI Gateway](../ai-gateway/), all model calls triggered by AutoRAG can be tracked in AI Gateway. This gives you full visibility into inputs, outputs, latency, and usage patterns.
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If you've connected your project to [AI Gateway](/ai-gateway), all model calls triggered by AutoRAG can be tracked in AI Gateway. This gives you full visibility into inputs, outputs, latency, and usage patterns.
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## Choosing a model
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