mirror of
https://github.com/microsoft/graphrag.git
synced 2025-07-07 00:51:42 +00:00
9b4f24ebce
* Firsst cut at config cleanup * Reorder top nav * Add query prompts to tuning page * Remove dynamic notebook from nav * Add more thorough yml config descriptions in docs * Further clean out the config * Semver * Add new blog post * Emphasize yaml * Clarify output * Fix unit test * Fix bullet nesting
16 lines
1.0 KiB
Markdown
16 lines
1.0 KiB
Markdown
# 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. More details about each of the default prompts for indexing and query can be found on the [manual tuning](./manual_prompt_tuning.md) page.
|
|
|
|
## 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](auto_prompt_tuning.md) 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](manual_prompt_tuning.md) documentation.
|