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… detection to avoid false positives - Implemented recursive large node splitting - Added comprehensive RAG pipeline - Created test scripts for RedBook queries - Generated 349 nodes from 686-page document (vs original 13 nodes)
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Thanks for working on Gemini support — it's a valuable direction. However, this PR needs significant rework Files that should not be in this PR: Please remove all of the following — they appear to be personal notes/workflow files and test data that don't
Architectural concern (the main issue): The current approach copies the entire pageindex logic into a new standalone file and replaces OpenAI calls The right approach is to add a provider abstraction inside the existing pageindex package — for example, Code issues in gemini_pageindex.py:
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added gemini configuration