PDF Dashboard FAQs

Question 1

What LLMs are compatible with PDF Dashboard?

Accepted Answer

PDF Dashboard is designed to work with any chat model installed via Ollama for agentic Q&A (e.g., qwen2.5:3b). It also requires `nomic-embed-text` for embeddings. You can easily select your preferred local LLM from a dropdown within the Streamlit UI.

Question 2

Does PDF Dashboard require an internet connection or API keys?

Accepted Answer

No, PDF Dashboard runs entirely offline on your local machine. It leverages local LLMs via Ollama, eliminating the need for internet access, API keys, or cloud services, thereby ensuring maximum data privacy and security.

Question 3

What is PDF Dashboard and what does it do?

Accepted Answer

PDF Dashboard is an offline application that allows you to upload PDFs, extract their text, and engage in a chat with your documents. It uses local Large Language Models (LLMs) powered by Ollama and a Retrieval-Augmented Generation (RAG) pipeline to provide answers with inline citations.

Question 4

How does PDF Dashboard handle text extraction from PDFs?

Accepted Answer

It employs PyMuPDF for fast text layer extraction. For scanned or image-based PDFs, it automatically falls back to GLM-OCR, an Ollama-powered OCR engine, ensuring comprehensive text retrieval from virtually any PDF document type.

Question 5

Can I integrate PDF Dashboard with other AI tools?

Accepted Answer

Yes, PDF Dashboard includes an MCP server. This allows seamless integration with external AI assistants and tools like Claude Desktop or Cursor, enabling them to query your indexed PDF documents for relevant information.

PDF Dashboard

PDF Dashboard

Key Features

Use Cases

Key Features

Use Cases