Document-aware Q/A bot

Setup

1. Clone the repository

• git clone https://github.com/vpakarinen2/qa-doc-bot-langchain.git
• cd qa-doc-bot-langchain

2. Create virtual environment (Windows, Python 3.11)

• python3.11 -m venv .venv
• .venv\Scripts\Activate.ps1 (source .venv/bin/activate on Linux)

3. Install dependencies

• python -m pip install --upgrade pip
• pip install -r requirements.txt

Usage

1. Run the Python script

• python qa_doc_bot.py

CLI arguments

Options

• -q, --question

  • Description: The question to ask the model.

• -m, --model-name

  • Description: Hugging Face model id (e.g. Qwen/Qwen3-4B-Thinking-2507).

• -l, --lora-name

  • Description: Optional LoRA adapter to apply on top of the base model.

• -d, --doc

  • Description: Path to the document (.pdf or .txt).

• --trust-remote-code

  • Description: Allow execution of custom remote code.

Author

Ville Pakarinen (@vpakarinen2)