A: Q: Does your platform offer a knowledge base where I can upload files, connect data sources, or add websites for crawling to train the chatbot?
A: Our bots can be trained by providing URLs to online resources or by uploading files (CSV, SLX, XLM, MD, PDF, word, etc.) We don't yet support connecting data sources, but this feature is planned for future releases. Data sources will be part of the "Actions" feature, which we aim to release by the end of 2024.

Q: Can your chatbot generate custom reports or summaries based on client data?
A: We are planning to introduce this feature, but it is not yet available.

Q: Does your system support automating responses, such as email replies, using uploaded or connected data?
A: This is also in our roadmap, though these features are being released in stages. Our first focus is WhatsApp integration, followed by support for all Meta platforms, including the ability to reply to user comments. Email integration is on our list but will be released later. We prioritize features based on client demand, and our community platform allows clients to suggest and upvote features. The more upvotes, the higher we prioritize the feature. Please see community.fineguide.ai

Q: Does your platform integrate with ChatGPT or other AI models? If so, how does it work?
A: Fineguide integrates with various models, including OpenAI's GPT (ChatGPT), Claude (Sonnet), Google Gemini, and we've recently added support for Perplexity. You can choose which model you want your assistant to use form a list of available LLMs.

Q: What customization options exist for training the chatbot with detailed client-specific information?
A: The chatbot is trained using the context you upload. While we are limited to text-based data, our context limits are large enough to accommodate a substantial amount of information. We do not support reading images yet.