Future Enhancement: Context Expansion and Adaptive Expertise #3

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foxadmin · 2025-08-16T04:52:29+10:00

foxadmin commented

2025-08-16 04:52:29 +10:00

Context Expansion for Better Chunk Presentation

Goal: Improve how search results are displayed in terminal interface by intelligently expanding chunk context.

Current Issue: Raw chunks can appear broken or confusing (mid-sentence fragments, missing context).

Proposed Solution:

Implement context expansion algorithm to include surrounding text
Smart trimming to fit terminal display nicely
Balance between context and readability
Not full documents (terminal-appropriate sizing)

Adaptive Expertise Implementation

Goal: System adapts to user's technical level through interaction patterns.

Current State: Some adaptation attempted through documentation and prompting.

Enhancement Ideas:

Track user query complexity over time
Adjust result detail level based on user behavior
Guide users toward appropriate learning progression
Provide slightly more complex information to encourage growth

Implementation Notes

These are experimental concepts for future development
Current mini-rag should remain stable for new users
Ideas derived from broader RAG distillation research
Focus on terminal-appropriate implementations

This connects to broader concepts around:

Knowledge distillation for different user expertise levels
Context-aware information retrieval
Adaptive user interfaces for technical systems

Status: Research/Planning phase - no immediate implementation planned.

## Context Expansion for Better Chunk Presentation **Goal**: Improve how search results are displayed in terminal interface by intelligently expanding chunk context. **Current Issue**: Raw chunks can appear broken or confusing (mid-sentence fragments, missing context). **Proposed Solution**: - Implement context expansion algorithm to include surrounding text - Smart trimming to fit terminal display nicely - Balance between context and readability - Not full documents (terminal-appropriate sizing) ## Adaptive Expertise Implementation **Goal**: System adapts to user's technical level through interaction patterns. **Current State**: Some adaptation attempted through documentation and prompting. **Enhancement Ideas**: - Track user query complexity over time - Adjust result detail level based on user behavior - Guide users toward appropriate learning progression - Provide slightly more complex information to encourage growth ## Implementation Notes - These are experimental concepts for future development - Current mini-rag should remain stable for new users - Ideas derived from broader RAG distillation research - Focus on terminal-appropriate implementations ## Related Research This connects to broader concepts around: - Knowledge distillation for different user expertise levels - Context-aware information retrieval - Adaptive user interfaces for technical systems **Status**: Research/Planning phase - no immediate implementation planned.

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Reference: BobAi/Fss-Rag-Mini#3