Hello, to enhance the performance of RAG (Retrieval-Augmented Generation), it's essential to prepare answers to anticipated questions. If there are no prepared responses to expected questions, or if the system generates incorrect answers, it can lead to issues such as hallucinations. While it is possible to adjust the system to avoid answering unknown questions, it is preferable to have responses ready for as many questions as possible. Therefore, preparing a Q&A collection in advance ensures that the system has appropriate answers in its dataset.
For example, in an RAG designed for company introductions, you might prepare questions and answers like the following:
Basic Information about the Company
1. When was the company established?
2. Where is the headquarters located?
3. What are the main business activities?
4. What is the company’s mission statement or corporate philosophy?
5. Can you tell me about the history and origin of the company?
Performance and Market
1. Who are the primary customer segments or target markets?
2. Who are the competitors?
3. Can you share the company’s past performance and growth achievements?
4. What is the current market share of the company?
5. What are the future growth strategies and visions?
Products and Services
1. Can you tell me about your main products or services?
2. What are the strengths and unique selling points of your products or services?
3. What are your efforts in new product development and innovation?
4. What regions or areas do you provide your services to?
Organization and Culture
1. How many employees do you have?
2. Can you describe the organizational structure and departmental composition?
3. What is the corporate culture and working style like?
4. What are the career paths and growth opportunities within the company?
5. How do you handle internal communication and collaboration?
Environment and Social Responsibility
1. What are your efforts towards environmental protection and sustainability?
2. Can you tell me about your CSR (Corporate Social Responsibility) activities and social contributions?
3. What are your policies and achievements concerning ethical business practices?
Such a Q&A collection can help ensure the quality of the RAG system for company introductions.
Similarly, for an RAG designed to answer questions about cooking recipes, you might prepare:
Questions about Ingredients
1. What ingredients are needed for this recipe?
2. Are there any substitutes for specific ingredients?
3. What are the quantities of the ingredients?
4. Where can I buy these ingredients?
5. Are there allergy-friendly ingredient options?
Questions about Cooking Procedures
1. How long does it take to cook this recipe?
2. Can you provide the detailed cooking steps?
3. Are there any special tools needed for this recipe?
4. What are the tips or points to watch out for during each step?
5. Do I need to adjust the heat at any point?
Questions about Taste and Appearance
1. What does this dish taste like?
2. Do you have any plating advice?
3. What sauces or sides go well with this dish?
4. What are the colors and textures of this dish?
5. What should I add for the final touch?
Questions about Storage and Reheating
1. How long can this dish be stored?
2. What should I be aware of when storing it?
3. How should I reheat it?
4. Can it be frozen?
5. How can I maintain the flavor and texture after storage?
Questions about Variations and Customizations
1. Are there ways to customize this recipe?
2. Are there techniques from this recipe that can be applied to other dishes?
3. Are there seasonal variations using different ingredients?
4. What are the recommended drinks to pair with this dish?
5. How can I adjust this recipe for a small or large group?
These questions often go beyond what is typically included in a recipe, so it is advisable to be prepared for them.
At blueqat, we offer a managed RAG service. It is already available to some users who are utilizing it. We have prepared industry-specific Q&A collections from a professional standpoint. If you are interested, please contact our sales team.
In addition to strengthening the search engine with vector searches, it is also crucial to ensure that the data aligns well with the RAG system. Therefore, we recommend preparing both the system and data comprehensively. That’s all for now.