This project highlights how to leverage a ChromaDB vector store in a Langchain pipeline to create a chat with a Pdf application. You can load in a pdf based document and use it alongside an LLM without fine-tuning.

1. Create a virtual environment python -m venv langchainenv
2. Activate it:
   • Windows:.\langchainenv\Scripts\activate
   • Mac: `source langchain/bin/activate'
3. Clone this repo git clone https://github.com/nicknochnack/LangchainDocuments
4. Go into the directory cd LangchainDocuments
5. Install the required dependencies pip install -r requirements.txt
6. Add your OpenAI APIKey to line 52 of app.py
7. Start the app streamlit run app.py
8. Load the Pdf you would like to ask questions
9. Ask questions and get the answers