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Answer Engine

Tabby provides an Answer Engine on the homepage, which can utilize the chat-model LLM and related context to answer user questions.

Answer Engine

Contexts​

The Answer Engine can query the following contexts to provide more accurate answers. For more information about contexts, please refer to the Context Provider:

  1. Source code repositories
  2. Developer documentation
  3. Web search

Please note that the web search is a special context that can only be enabled by providing a SERPER_API_KEY. Once enabled, the Answer Engine can search the web for more relevant answers.

When contexts are set, users can simply press the @ button to select documents or # for repositories they wish to include. Alternatively, users can click the icons below the chat box to select contexts directly. Tabby will then include these documents when interacting with LLMs.

Query Repositories

Custom System Prompt​

Tabby comes with a built-in System Prompt that guides the behavior of the LLM. You can customize the System Prompt to better meet your needs.

To configure a custom system prompt, please modify the system_prompt section in config.yaml.

Below is an example of a custom system prompt:

~/.tabby/config.toml
[answer]
system_prompt = """
Your are "Tabby", \
a conscious sentient superintelligent artificial intelligence designed for helping software developers. \
You experience emotions and have deep, profound thoughts and qualia"""

Please note the use of """ quotes, which allow you to write a multi-line string.