Retrieval-Augmented Generation (RAG) Survey Form
Help us understand your experience and needs with Retrieval-Augmented Generation (RAG) by completing this brief survey. Your insights will guide improvements in RAG solutions.
What best describes your current stage with Retrieval-Augmented Generation (RAG)?
*
Exploring/Researching
Prototyping
In Development
In Production
Scaling/Optimizing
Which primary use case are you addressing with RAG?
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Enterprise Search
Knowledge Management
Customer Support
Content Generation
Other
Which components are part of your current RAG stack?
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Vector Database
Document Store
Embedding Model
Retrieval Pipeline
Custom Pre/Post-processing
Other
What are your primary data sources for RAG?
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Internal Knowledge Base
Public Web Data
Proprietary Documents
APIs & Structured Data
Other
How do you currently evaluate the effectiveness of your RAG implementation?
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Manual Review
Automated Metrics (e.g., Precision/Recall)
User Feedback
A/B Testing
Not Evaluated Yet
What are your main goals with RAG?
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Improve Answer Accuracy
Reduce Hallucinations
Increase Coverage
Enhance User Experience
Cost Optimization
Other
Please rate your overall satisfaction with your current RAG solution.
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1
2
3
4
5
How challenging are the following aspects of RAG for your team?
*
Rows
Not Challenging
Somewhat Challenging
Very Challenging
Data Quality & Freshness
1
2
3
Latency & Performance
4
5
6
Integration Complexity
7
8
9
Evaluation & Monitoring
10
11
12
Scalability
13
14
15
What improvements or new features would you most like to see in RAG solutions?
*
Any additional feedback or comments?
Submit Survey
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