Hi everyone, I’m facing a small issue that I believe most French VAPI users encounter. When I add information about my business, which is a restaurant (such as opening hours, the menu, FAQs, etc.), exclusively in the Knowledge Base, the AI agent’s responses are often inconsistent or even incorrect. That’s why I decided to put all this information in the system prompt, and in that case, the AI responds correctly. However, the problem is that the cost per minute has now risen to €0.25/min (which is quite high). My question is: how can I ensure the Knowledge Base is properly understood and utilized by the AI? (This would help avoid putting all the information in the system prompt and thus reduce the call cost.)

@LMN Hello! I'm glad you reached out for assistance with optimizing the use of the Knowledge Base for your restaurant's information. To ensure that the Knowledge Base is properly understood and utilized by the AI, here are a few steps you can take: 1. **Structure Your Data**: Organize the information in your Knowledge Base in a structured format that is easy for the AI to parse. This includes categorizing the data (e.g., opening hours, menu items, FAQs) and using consistent formatting. 2. **Use Clear and Concise Language**: Ensure that the information is written in clear and simple language. Avoid using complex sentences or industry jargon that might be difficult for the AI to interpret. 3. **Regular Updates**: Keep the Knowledge Base updated with the latest information to prevent any inconsistencies or outdated responses. 4. **Training the AI**: If possible, train the AI with examples of queries and the correct responses using the information from the Knowledge Base. This can help the AI learn the context and provide more accurate answers. 5. **Feedback Loop**: Implement a feedback system to identify when the AI provides incorrect information. Use this feedback to make necessary adjustments to the Knowledge Base. 6. **Technical Review**: If you have done all the above and still face issues, there might be a need for a technical review to ensure that the AI is correctly integrated with the Knowledge Base. If you need further assistance with structuring your Knowledge Base or training the AI, please don't hesitate to ask for support. We're here to help you make the most out of VAPI and ensure that your customers receive accurate information while keeping your costs manageable.

I already did that, some members told me to use a voiceflow or An expensive LLM with a very long prompt

@LMN It's great to hear that you've already taken steps to structure your Knowledge Base. Using a tool like Voiceflow can indeed help in designing voice applications with a more intuitive interface for managing content. However, if you're concerned about costs, it might be worth exploring other strategies to improve the AI's use of the Knowledge Base without resorting to expensive solutions or lengthy prompts. Here are a few additional suggestions: 1. **Optimize Knowledge Base Queries**: Review how the AI accesses the Knowledge Base. Ensure that the queries it uses to retrieve information are optimized for accuracy. 2. **Segmentation**: Break down the information into smaller, more manageable segments that the AI can easily retrieve and understand. 3. **Prioritize Information**: Determine which pieces of information are most frequently requested or most important for your customers and prioritize these in the Knowledge Base. 4. **Use Synonyms and Variations**: Include synonyms and different phrasings for the same information to help the AI understand various ways customers might ask for information. 5. **Monitor Interactions**: Regularly monitor the interactions between customers and the AI to identify patterns where misunderstandings occur. 6. **Consult with Experts**: If possible, consult with VAPI experts or voice developers who have experience in optimizing Knowledge Bases for AI interactions. If you've tried these strategies and are still facing issues, it might be necessary to look into the specific technical integration of the Knowledge Base with your AI system. If you need technical support or have further questions, please let me know, and I can assist you or direct you to the right support channel.

@Vapi in this case, would you recommend having 'multiple knowledge base files', or would you recommend posting all the information in 'one file'?

@Yves The decision to use multiple knowledge base files versus a single file often depends on the complexity and volume of the information, as well as how the AI system accesses and processes this data. Here are some considerations for each approach: Multiple Knowledge Base Files: - Pros: - Easier to manage and update specific categories of information. - Can improve performance if the AI system can efficiently query smaller, more focused files. - Reduces the risk of information overload, which can lead to inaccuracies in AI responses. - Cons: - May require more sophisticated logic to determine which file to query for a given user request. - Could potentially lead to fragmentation if not managed properly. Single Knowledge Base File: - Pros: - Simplifies the querying process as all information is in one place. - Easier to implement if the AI system is not designed to handle multiple files. - Cons: - Can become unwieldy and difficult to manage as the amount of information grows. - May lead to slower query times and potential performance issues. In general, if your restaurant's information is relatively straightforward and not too voluminous, a single knowledge base file might suffice and keep things simple. However, if you have a large amount of diverse information that is frequently updated or queried, organizing it into multiple knowledge base files could be more efficient and lead to better AI performance. Ultimately, the best approach is the one that aligns with your specific needs and the capabilities of your AI system. It may also be helpful to experiment with both methods to see which yields better results in terms of accuracy and efficiency. If you require further assistance in making this decision or implementing it, please feel free to reach out for more support.

I have an issue with the transcript of the first name and last name, if I create a knowledge base with 800 000 différent names, is that will be helpful ?

@LMN Creating a knowledge base with 800,000 different names is an ambitious approach, but it may not be the most efficient or effective solution for improving name recognition in transcripts. Here are a few reasons why: 1. **Scalability**: Managing a knowledge base of that size could be challenging and may not scale well as new names need to be added over time. 2. **Performance**: The AI may experience performance issues when trying to query such a large dataset, potentially leading to slower response times. 3. **Accuracy**: While having a comprehensive list might improve recognition to some extent, it does not guarantee accuracy, as names can have multiple pronunciations or be similar to other words in the language. Instead of creating a massive knowledge base of names, consider these alternative strategies: 1. **Phonetic Matching**: Use phonetic algorithms designed to match similar-sounding names, which can help with variations in pronunciation. 2. **Contextual Clues**: Improve the AI's ability to use context to better predict when a name is being provided, such as after a prompt asking for a first or last name. 3. **Correction Mechanism**: Implement a system where users can correct the AI if it transcribes their name incorrectly, which can also help the system learn over time. 4. **Specialized Name Recognition**: Some voice recognition systems have specialized name recognition capabilities that can be trained or customized for better performance. 5. **User Profiles**: If applicable, create user profiles where names are stored and can be referenced during interactions to improve accuracy. If you're still considering the knowledge base approach, it might be more practical to focus on the most common names and ensure that the AI system is well-integrated with this database for efficient querying. For further assistance with improving name transcription accuracy, please feel free to reach out for more support.

How to train our ai agent to reduce the number mistakes or misunderstandings ?

@LMN Sorry for the late response. Are you still experiencing this problem? If so, could you share: - The recent call ID - When exactly this happened (the timestamp) - What response you expected to get - What response you actually got instead This would really help me figure out what went wrong!