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.
python -m venv langchainenv
.\langchainenv\Scripts\activate
git clone https://github.com/nicknochnack/LangchainDocuments
cd LangchainDocuments
pip install -r requirements.txt
app.py
streamlit run app.py