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phase: 1 - enhanced retrievalPhase 1: Enhanced RetrievalPhase 1: Enhanced Retrievalpriority: highHigh priority issueHigh priority issuetech: weaviateWeaviate integrationWeaviate integrationtype: ragRAG enhancementRAG enhancement
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Description
Implement AutoCut for Relevance Filtering
Original Issue: eudaimoniatech/intellyweave#12
Labels: priority: high, type: rag, phase: 1 - enhanced retrieval, tech: weaviate
Milestone: Phase 1: Enhanced Retrieval
Priority: High
User Story
As an analyst, I want the system to automatically exclude low-relevance search results so that I only see highly relevant documents and avoid hallucinations from weak matches.
Requirements
- Analyze similarity score distributions in search results
- Automatically determine cutoff threshold based on score drops
- Filter out results below the dynamic threshold
- Prevent inclusion of marginally relevant documents in context
Acceptance Criteria
- System identifies sharp drops in similarity scores
- Results below threshold are excluded from generation context
- Configurable sensitivity for threshold detection
- Works across all search operations
Documentation
Comments
AutoCut relevance filtering implementation is consolidated into the Phase 1 checklist. See consolidated issue for complete task breakdown and progress tracking.
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phase: 1 - enhanced retrievalPhase 1: Enhanced RetrievalPhase 1: Enhanced Retrievalpriority: highHigh priority issueHigh priority issuetech: weaviateWeaviate integrationWeaviate integrationtype: ragRAG enhancementRAG enhancement