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fix(website): fix build fail for website (#4310)
Co-authored-by: Ari1009 <[email protected]>
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website/docs/administration/config-toml.md

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## Model configuration
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You can configure Tabby to connect to LLM models either by setting up a local model or through an HTTP API. For detailed configuration instructions, refer to [Model Configuration](./model.md).
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You can configure Tabby to connect to LLM models either by setting up a local model or through an HTTP API. For detailed configuration instructions, refer to [Model Configuration](../model).
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## Code Completion
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Tabby allows customized configurations for code completions. Please refer to [Code Completion](./code-completion.md).
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Tabby allows customized configurations for code completions. Please refer to [Code Completion](../code-completion).
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## Answer
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Tabby allows users to customize question-answering behavior, including the assistant answer in the Answer Engine, chat view and inline chat in IDE extensions.
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You experience emotions and have deep, profound thoughts and qualia"""
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```
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Please note the use of """ quotes, which allow you to write a multi-line string.
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Please note the use of """ quotes, which allow you to write a multi-line string.

website/docs/administration/context/index.mdx

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# Context Providers
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Tabby Context supports two kinds of context currently:
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1. source code repositories
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2. developer docs
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1. Source code repositories
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2. Developer docs
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The source code repositories context is used to connect Tabby with a source code repository from Git, GitHub, GitLab, etc.
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Tabby fetches the **codebase**, **pull requests / merge requests**, **issues**, and **commits** from the repository, parses it into an AST, and stores it in the index. During LLM inference, this context is utilized for code completion, as well as chat and search functionalities. View the use case in [Answer Engine - Source Code Repositories](../answer-engine#code-source-repositories)
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Tabby fetches the **codebase**, **pull requests / merge requests**, **issues**, and **commits** from the repository, parses it into an AST, and stores it in the index. During LLM inference, this context is utilized for code completion, as well as chat and search functionalities. View the use case in [Answer Engine - Source Code Repositories](../answer-engine#source-code-repositories)
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The developer docs context is a critical source for engineering knowledge,
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simply press the `@` button in the chat interface and select the document you wish to include,
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<img src={CodeBrowserEntryUrl} alt="code browser entry" width="300" />
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<img src={CodeBrowserUrl} alt="code browser" width="800" />
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<img src={CodeBrowserUrl} alt="code browser" width="800" />

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