Document Retrieval

The process of identifying and returning relevant documents from a corpus in response to a user query, a critical step in retrieval-augmented-generation-rag pipelines.

Optimization Techniques

• Fine-tuning embedding models for domain-specific performance without full retraining or re-embedding of knowledge bases (see Fine Tuning RAG - Adam Lucek).
• Linear Adapters enable efficient domain adaptation of base embedding models, reducing computational cost while maintaining retrieval accuracy.
• Avoids the need for expensive full model retraining or re-embedding large corpora.

2026 04 14 Fine Tuning RAG Adam Lucek

Source Notes

• 2026-04-14: How to get TACK SHARP photos with any camera!
• 2026-04-14: [[lab-notes/2026-04-14-Transforming-NotebookLM-Mind-Maps-into-Engaging-Visuals-with-Google-Ge|Notebook LM MindMaps + Gemini = Stunning Mindmaps + Interactive Visuals]]