Frequently Asked Questions (FAQ) about DOC TALK - AI

Q: What document formats does DOC TALK - AI support?

A: DOC TALK - AI supports multiple document formats, including PDF, TXT, and DOCX.

Q: Can I use DOC TALK - AI with cloud-based AI models?

A: Yes, DOC TALK - AI is compatible with cloud AI models like OpenAI GPT and Gemini AI. You’ll need to configure your API keys.

Q: Does DOC TALK - AI store my interaction history?

A: Yes, DOC TALK - AI stores interaction history for quick reference, allowing you to easily revisit previous queries and responses.

Q: Is DOC TALK - AI easy to configure?

A: Yes, DOC TALK - AI is designed with a simple and flexible configuration process.

Q: What is Streamlit, and why is it used in DOC TALK - AI?

A: Streamlit is a Python library used to create interactive web applications. It provides an easy-to-use interface for DOC TALK - AI.

Q: Where are my uploaded documents stored?

A: Uploaded documents are stored in the data/uploads/ directory within the DOC TALK - AI project structure.

Q: How do I contribute to the DOC TALK - AI project?

A: You can contribute by forking the repository, creating a branch for your feature, committing your changes, pushing to GitHub, and opening a pull request.

Q: Can I use DOC TALK - AI with local AI models instead of cloud-based ones?

A: Yes, DOC TALK - AI supports integration with local AI models, offering flexibility based on your requirements.

Q: What are the core dependencies of DOC TALK - AI?

A: The core dependencies are listed in the requirements.txt file and can be installed using pip install -r requirements.txt.

Q: How does DOC TALK - AI integrate with the UBOS platform?

A: DOC TALK - AI can be integrated with UBOS to leverage its AI Agent Development Platform, allowing for orchestration, enterprise data connectivity, custom AI Agent development, and more.