Testing and Debugging Guide

This guide covers validating your Search AI configuration through testing and debugging tools to ensure optimal answer quality before deployment.

Navigation: Answer Generation > Test Answers

Testing Answers

Access Testing

1. Navigate to Configuration > Answer Generation.
2. Click Test Answers
3. Enter a query
4. Review the generated answer
5. Use debug option to analyze behavior

Testing Workflow

Step	Action	Purpose
1	Enter test query	Simulate user input
2	Review answer	Verify response quality and accuracy
3	Open debug view	Understand how answer was generated
4	Analyze chunks	Check which content was used
5	Refine configuration	Adjust settings based on findings

Debug Information

The debug view provides comprehensive insights into answer generation.

Debug Components

Component	Description
Qualified Chunks	Chunks selected and used to generate the answer
Retrieval Details	How chunks were identified and ranked
LLM Request/Response	Full prompt sent and response received (for generative answers)
Processing Time	Time taken by each component

Agentic RAG Debugging

When Agentic RAG is enabled, an additional Retrieval tab appears showing:

Information	Description
Agent Sequence	Order in which agents were invoked
Agent Input	Data sent to LLM by each agent
Agent Output	Results returned from each agent
LLM Timing	Time taken per LLM call

Answer Insights

The Answer Insights feature provides analytics for query-response interactions.

Available Data

Feature	Description
Query Grouping	View all answers for grouped queries
Search Logs	Filter logs by answer and channel
Detailed View	Query overview, debug info, LLM details
Performance Tracking	Monitor answer quality over time

Accessing Answer Insights

Navigate to Analytics > Search AI > Answer Insights. Learn More.

Debugging Checklist

Common Issues and Solutions

Issue	Possible Cause	Solution
No results returned	Content not indexed	Verify content sources and extraction settings
Poor relevance	Threshold too high/low	Adjust similarity score threshold
Missing information	Chunks too small	Increase chunk size or token budgets
Incomplete answers	Insufficient context	Increase Top K chunks or token budget
Business rules not applying	Condition mismatch	Test with debug to verify rule triggers
Slow responses	Too many LLM calls	Review Agentic RAG agent usage

Configuration Verification

Check	Location	What to Verify
Retrieval Strategy	Configuration > Retrieval	Vector vs. Hybrid selection
Thresholds	Configuration > Retrieval	Similarity, proximity, Top K values
Answer Type	Configuration > Answer Generation	Extractive vs. Generative
LLM Settings	Configuration > Answer Generation	Model, prompt, temperature
Business Rules	Configuration > Business Rules	Active rules and conditions

Best Practices

Testing Strategy

1. Test incrementally - Validate each configuration change before moving to the next
2. Use varied queries - Test different query types, lengths, and phrasings
3. Include edge cases - Test ambiguous queries and boundary conditions
4. Compare results - Document before/after when making changes

Debug Analysis

1. Review qualified chunks - Ensure relevant content is being selected
2. Check chunk rankings - Verify highest-ranked chunks are most relevant
3. Analyze LLM prompts - Confirm context is properly structured
4. Monitor timing - Identify performance bottlenecks

Ongoing Monitoring

1. Track Answer Insights - Review analytics regularly
2. Monitor feedback - Enable user feedback and review ratings
3. Iterate configuration - Continuously refine based on data
4. Document changes - Keep records of configuration modifications

Testing Scenarios

Scenario 1: Basic Answer Validation

1. Enter simple factual query
2. Verify answer accuracy
3. Check source citation
4. Confirm response time acceptable

Scenario 2: Retrieval Quality Check

1. Enter query matching specific content
2. Open debug view
3. Verify expected chunks are qualified
4. Check similarity scores

Scenario 3: Business Rule Verification

1. Configure test rule with known conditions
2. Enter query that should trigger rule
3. Open debug view
4. Confirm rule was applied correctly

Scenario 4: Agentic RAG Testing

1. Enable Agentic RAG
2. Enter complex query
3. Review Retrieval tab in debug
4. Verify agent sequence and outputs

Quick Reference

Debug Tab Contents

Tab	Shows
Qualified Chunks	Selected content for answer
Retrieval	Agent processing (Agentic RAG only)
LLM Details	Prompt and response data

Key Metrics to Monitor

Metric	Healthy Range
Response Time	< 3 seconds (varies by LLM)
Chunk Relevance	Top chunks match query intent
Answer Accuracy	Matches source content
User Feedback	Positive ratings trending up

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