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When using the native search feature in commercial models, I observed that pulling ~50 references produces the best output quality. However, this may be excessive for local models with limited context windows.
Proposed Solution:
Add a user-configurable setting for reference source limits to optimize for:
Commercial APIs (e.g. GPT-4, Claude): Higher limits (~50 sources) for accuracy
Local models: Lower limits to prevent context window overflows
The text was updated successfully, but these errors were encountered:
When using the native search feature in commercial models, I observed that pulling ~50 references produces the best output quality. However, this may be excessive for local models with limited context windows.
Proposed Solution:
Add a user-configurable setting for reference source limits to optimize for:
Commercial APIs (e.g. GPT-4, Claude): Higher limits (~50 sources) for accuracy
Local models: Lower limits to prevent context window overflows
The text was updated successfully, but these errors were encountered: