Q&A

Q&A (Question & Answer)

What It Does

The Q&A node is like having a smart reading assistant. Give it any text content and ask specific questions about it. It will analyze the content and provide accurate, contextual answers based on what it reads.

What Goes In, What Comes Out

Input

Name	Type	Description	Required	Default
llm	LLM Connection	Your AI model	Yes	-
question	Text	What you want to know	Yes	-
context	Text	Content to analyze	Yes	-
max_answer_length	Number	Maximum response length	No	500
confidence_threshold	Number	Minimum confidence level (0-1)	No	0.7

Output

Name	Type	Description
answer	Text	AI’s answer to your question
confidence	Number	How confident the AI is (0-1)
sources	Array	Relevant parts of the content used
processing_time	Number	Time taken in milliseconds

Real-World Examples

📰 Article Analysis: “What are the main points in this news article?”

• Input: News article text
• Output: Key points and takeaways

🛍️ Product Research: “What are the pros and cons mentioned in this review?”

• Input: Product review content
• Output: Balanced summary of positives and negatives

📊 Report Insights: “What were the key findings in this research?”

• Input: Research document
• Output: Main conclusions and discoveries

How It Works

flowchart LR
    A[❓ Your Question] --> B[📄 Content to Analyze]
    B --> C[🤖 AI Analysis]
    C --> D[✅ Smart Answer]

    style A fill:#e3f2fd
    style B fill:#f3e5f5
    style C fill:#fff3e0
    style D fill:#e8f5e8

Perfect for when you need to:

• 🎯 Extract specific information from long documents
• 📊 Analyze content and get insights
• ✅ Verify facts mentioned in articles
• 🔍 Find answers without reading everything yourself

Quick Start Example

Goal: Analyze product reviews to find common complaints

Setup:

{
  "question": "What are the main complaints customers have about this product?",
  "context": "{review_content}",
  "confidence_threshold": 0.8
}

Result: Get a clear summary of customer issues, perfect for product improvement or purchase decisions.

Configuration Tips

Essential Settings

• Answer Style: Choose “concise” for quick facts, “detailed” for thorough analysis, “bullet-points” for lists
• Confidence Threshold: 0.7 for general use, 0.8+ when accuracy is critical
• Max Answer Length: 300 for summaries, 500+ for detailed explanations

Common Configurations

For Quick Facts:

{
  "answer_style": "concise",
  "max_answer_length": 200,
  "confidence_threshold": 0.8
}

For Detailed Analysis:

{
  "answer_style": "detailed",
  "max_answer_length": 600,
  "include_sources": true
}

For Structured Lists:

{
  "answer_style": "bullet-points",
  "max_answer_length": 400,
  "confidence_threshold": 0.7
}

Browser Compatibility

Works in all major browsers:

• ✅ Chrome: Full support with response caching
• ✅ Firefox: Full support
• ⚠️ Safari: Limited caching capabilities
• ✅ Edge: Full support

Privacy & Security

• 🔒 Secure Processing: Content analyzed securely without permanent storage
• 🔐 Encrypted Connections: All AI requests use secure HTTPS
• 🚫 No Data Retention: Content isn’t stored after processing
• ✅ Source Verification: Validates content before analysis

Step-by-Step Workflow

1. Get Your Content

Use Get All Text From Link or Get HTML From Link to extract content

2. Ask Your Question

Connect Q&A Node with a specific question about the content

3. Get Smart Answers

Receive contextual answers with confidence scores and source references

4. Use the Results

Save answers, combine with other data, or ask follow-up questions

Try It Yourself

Example 1: Product Comparison Helper

What you’ll build: Extract key product information for easy comparison

Workflow:

Get HTML From Link → Q&A Node → Edit Fields → Download As File

Configuration:

• Question: “What are the price, main features, and customer rating of this product?”
• Answer Style: “bullet-points”
• Max Answer Length: 300

Result: Structured product data perfect for comparison shopping or market research.

Example 2: News Article Analyzer

What you’ll build: Extract key information from news articles

Workflow:

Get All Text From Link → Q&A Node → Merge → Download As File

Configuration:

• Question: “What happened, when did it happen, and what are the implications?”
• Answer Style: “detailed”
• Confidence Threshold: 0.8

Result: Comprehensive news summaries with key facts and analysis.

Example 3: Research Paper Insights

What you’ll build: Extract findings from academic papers

Workflow:

Get All Text From Link → Q&A Node → Edit Fields

Configuration:

• Question: “What are the main findings, methodology, and limitations of this study?”
• Answer Style: “detailed”
• Max Answer Length: 600

Result: Structured research summaries perfect for literature reviews.

🔍 Advanced Example: Multi-Question Analysis

What you’ll build: Ask multiple questions about the same content

Setup: Use multiple Q&A nodes in parallel, each with different questions:

• “What are the main benefits?”
• “What are the drawbacks?”
• “Who is the target audience?”

Use case: Comprehensive content analysis from multiple angles.

Best Practices

✅ Do This

• Ask specific questions: “What are the top 3 benefits?” vs “Tell me about this”
• Use appropriate confidence thresholds: 0.8+ for critical information
• Match answer style to your needs: bullet-points for lists, detailed for analysis
• Test questions with sample content before running on multiple sources

❌ Avoid This

• Asking questions the content can’t answer
• Using very low confidence thresholds (may get unreliable answers)
• Making questions too broad or vague
• Expecting answers about information not in the content

Troubleshooting

🤔 “Low Confidence” Answers

Problem: AI says it’s not confident about the answer Solution: Make your question more specific or check if the content actually contains the information

📝 Inconsistent Answer Formats

Problem: Answers don’t follow your requested format Solution: Be more specific in your question: “List the top 3 features as bullet points”

⏱️ Slow Processing

Problem: Q&A takes too long to respond Solution: Break very long content into smaller chunks or ask more focused questions

❌ “Information Not Found”

Problem: AI can’t find answers in the content Solution: Verify the content actually contains what you’re asking about, or rephrase your question

Limitations to Know

• Content Dependent: Can only answer questions about information actually in the content
• Processing Time: Complex analysis takes 2-10 seconds depending on content length
• Context Size: Very large documents may need to be split into smaller pieces
• Language: Works best with English content, may vary with other languages

Related Nodes

🔄 Similar Nodes

• Basic LLM Chain: Better for general AI processing without specific questions
• RAG Node: Better when you need to search through document collections

🔗 Works Great With

• Get All Text From Link: Extracts content from web pages for analysis
• Get HTML From Link: Gets structured content for detailed questions
• Edit Fields: Formats and cleans up Q&A responses

🛠️ Required Setup

• Ollama: For local AI processing (privacy-focused)
• WbeLLM: For cloud AI services (OpenAI, Anthropic, etc.)

What’s Next?

🌱 New to Q&A Workflows?

Start with our AI Workflow Builder Tutorial

🚀 Ready for More?

• Try RAG Node for document search capabilities
• Explore Basic LLM Chain for general AI processing
• Check out real-world examples

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💡 Pro Tip: Start with simple, specific questions like “What is the price?” before moving to complex analytical questions like “What are the implications of this research?”