Use ChattyDocs to easily create AI experts on the selected topic. You provide the documents, the AI will use them in the answers to your or your customers' questions.
Congratulations on the launch, this really looks great. Do you have any idea how long documents it can read, by that i mean how many pages of a pdf it can read. Can it also read info from a html file and answer questions related to that.
Hey!
I want to share with you a project I was working on for the past 5 months - ChattyDocs.
If you ever wanted to have quick access to the information in multiple books or articles without having to read all of them, then you might find ChattyDocs helpful.
You can manage a dataset where you can put all your documents and then create an AI assistant using the selected model and parameters. Then you can use a chat manager to ask the AI for the answers.
You can also share the AI experts with others by either embedding them into your website or using the Telegram client.
Features:
- Manage your data using datasets.
- Select the AI model, it's personality and parameters.
- Chat with a dataset using editor with support for sessions, context, hotkeys, extra parameters.
- Preview, continue, or export your chat sessions.
- Share the link with other users or embed the AI chatbot directly into your website.
- Talk to the AI assistant using Telegram mobile or desktop client.
I am interested in what you think about it and happy to answer your questions.
Congratulations on the launch, this really looks great. Do you have any idea how long documents it can read, by that i mean how many pages of a pdf it can read. Can it also read info from a html file and answer questions related to that.
@shubhamraj43 Thank you! There is no hard limit on the length of provided documents. All documents are indexed into the vector store and then the top N pieces from the multiple documents are taken into consideration for the selected AI model. You can use PDF documents as well as HTML files or direct link to the websites (they will be downloaded and parsed into the data source).
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