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* Replace docs by mkdocs-material * Fix markdown * Fix verions in gh-pages workflow * remove whitespaces * add semver * Add build docs check on python-ci * Fix command in index cli * Spellcheck * Spellcheck * remove docsite paths * clear outputs from notebook * remove dependabot npm for docsite * remove more docsite left overs * execute notebooks * Update notebooks * update poetry lock * Remove notebook build from ci * Revert dep update * Navigation tabs * Fix stylesheet * add kwds to dictionary * Turn on notebook execution * Update gitignore * Add MSR Blog posts * spellcheck * Accessibility Changes --------- Co-authored-by: Alonso Guevara <alonsog@microsoft.com>
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Prompt Tuning ⚙️
This page provides an overview of the prompt tuning options available for the GraphRAG indexing engine.
Default Prompts
The default prompts are the simplest way to get started with the GraphRAG system. It is designed to work out-of-the-box with minimal configuration. You can find more detail about these prompts in the following links:
- Entity/Relationship Extraction
- Entity/Relationship Description Summarization
- Claim Extraction
- Community Reports
Auto Tuning
Auto Tuning leverages your input data and LLM interactions to create domain adapted prompts for the generation of the knowledge graph. It is highly encouraged to run it as it will yield better results when executing an Index Run. For more details about how to use it, please refer to the Auto Tuning documentation.
Manual Tuning
Manual tuning is an advanced use-case. Most users will want to use the Auto Tuning feature instead. Details about how to use manual configuration are available in the Manual Tuning documentation.