Creating a Chatbot with a Rag System to Answer Mathematical Questions
Creating a Chatbot with a Rag System to Answer Mathematical Questions
At a glance
The community member wants to create a chatbot that answers users' questions using a RAG system. Since the questions involve mathematical formulas, the users can send them as images. The community member plans to use the Llama Parse service to convert the images into text and then find the answers from a knowledge base. However, the Llama Parse service is not converting the images to text well. When using the UI on the cloud.llama website, the text is extracted correctly, but when using the Python SDK, the community member doesn't know how to configure it to get the best output. The community member also doesn't know the full list of settings for the Llama Parse function to test and find the best configuration.
Hello, I want to create a chatbot that answers users' questions using a RAG system. Since the users' questions are related to mathematics and involve formulas, they can send their questions as images. I plan to use the Llama Parse service to convert the images into text and then find the answers from a knowledge base. However, every time I test it, the Llama Parse service doesn't convert the images to text well. When I use the UI on the cloud.llama website, it extracts the text correctly, but when I use the Python SDK, I don't know how to configure it to get the best output. I also don't know what the full list of settings for the Llama Parse function is so I can test and see which one works best.
