fss-mini-rag-github/RESULTS.md

Agent 02 Test Results: Childcare Regulations Compliance System

Testing Date: September 8, 2025
Agent: Agent 02
Domain: Childcare Regulations
Overall Rating: 4/10

Executive Summary

FSS-Mini-RAG was tested for childcare regulatory compliance research. While installation was successful, significant issues were discovered with document chunking and search precision that severely impact usefulness for regulatory compliance workflows.

Installation Results

✅ Installation Success: Local installation completed without issues
✅ Dependencies: All dependencies installed correctly
✅ Basic Functionality: Core commands operational
Time: ~7 minutes total setup

Knowledge Base Creation

✅ Documents Indexed: 3 regulatory documents
✅ Index Creation: Successful (6.2 seconds)
❌ Chunking Quality: MAJOR ISSUE - Only 1 chunk per file

Documents Created:

• state_licensing_requirements.md (2.7KB) - Licensing standards and facility requirements
• cdc_health_safety_guidelines.md (3.8KB) - Health, safety, and emergency procedures
• naeyc_accreditation_standards.md (6.2KB) - Professional accreditation standards

Search Query Results

Query	Expected Result	Actual Result	Success
"Minimum square footage per child"	35 sq ft indoor, 75 sq ft outdoor	✅ Found correctly	✅
"Background check requirements"	FBI, state, child abuse registry checks	❌ Wrong content returned	❌
"Handwashing and sanitation"	20-second duration, before/after procedures	❌ Poor relevance ranking	❌
"Emergency exits required"	Min 2 exits for 15+ children	❌ Found in wrong context	❌
"Staff to child ratios"	Age-specific ratios (1:4, 1:6, 1:12, 1:15)	❌ Vague results only	❌

Search Success Rate: 20% (1 out of 5 queries successful)

Critical Issues Discovered

1. Document Chunking Problem (CRITICAL)

• Issue: Each document creates only 1 chunk regardless of size
• Impact: Search cannot isolate specific sections or topics
• Evidence: 3 files → 3 chunks (should be 15-20 chunks for optimal search)
• Result: Queries return entire document chunks instead of relevant sections

2. Search Precision Issues

• Issue: Queries often return incorrect document sections
• Impact: Users cannot find specific regulatory requirements efficiently
• Example: Background check query returned handwashing procedures

3. Content Ranking Problems

• Issue: Less relevant content scored higher than directly relevant content
• Impact: Most important information buried in results

Performance Metrics

• Index Size: 3 documents, 3 chunks
• Index Creation Time: 6.2 seconds
• Average Query Response Time: <1 second
• Memory Usage: Minimal
• Search Accuracy: 20% success rate

Professional Impact Assessment

Domain: Childcare Regulations
Value for Professionals: Currently Limited (4/10)

Current Strengths:

• Fast installation and setup
• Quick response times
• Handles regulatory document formats well

Critical Limitations:

• Cannot isolate specific regulatory requirements
• Poor search precision for compliance queries
• Inadequate for professional regulatory research

Recommended Use Cases:

• General document awareness only
• NOT suitable for compliance research
• NOT suitable for regulatory verification

Workarounds Discovered

1. Manual Document Review: After search, manually scan entire returned chunk
2. Multiple Query Attempts: Try various keyword combinations
3. Search Within Files: Use traditional file search after FSS-Mini-RAG narrows scope

Issues Created

Issue #1: Document Chunking Creates Single Chunks Per File

Category: search
Severity: Critical
Impact: Prevents granular search within documents
Reproduction Steps: Index any multi-section document, observe chunk count equals file count

Recommendations

Immediate Improvements Needed:

1. Fix Chunking Algorithm: Implement proper section-based chunking
2. Improve Search Ranking: Prioritize direct keyword matches
3. Add Chunk Size Controls: Allow users to configure chunk sizes
4. Better Content Parsing: Recognize document structure (headers, sections)

Missing Features for Regulatory Domain:

1. Citation References: Show exact document sections and page numbers
2. Compliance Checklists: Generate actionable compliance items
3. Cross-Reference Search: Find related requirements across documents
4. Version Tracking: Handle regulatory document updates

Technical Evidence

Index Statistics:

Files indexed: 3
Chunks created: 3
Time taken: 6.20 seconds
Speed: 0.5 files/second
Average chunks per file: 1.0 (PROBLEM: Should be 5-7 per file)

Sample Search Results:

• Query: "background check requirements"
• Top Result: handwashing procedures (Wrong section)
• Correct Answer: Found buried in chunk without proper ranking

Conclusion

While FSS-Mini-RAG shows promise for document indexing and basic search, critical chunking and search precision issues make it unsuitable for professional regulatory compliance research in its current state. The system needs significant improvements in document parsing and search algorithm refinement before it can serve childcare professionals effectively.

Recommendation: Address chunking algorithm before deploying for professional use cases requiring precise information retrieval.

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Generated by Agent Testing Scenario: childcare-regulations
Repository: fss-mini-rag-github
Branch: 02_childcare_regulations
Test Completion: 100%