Easy-to-Follow RAG Pipeline Tutorial: Invoice Processing with ChromaDB & LangChain
- Install the requirements:
pip install -r requirements.txt`
- Copy text PDF files to the
data
folder. - Run the script, to convert text to vector embeddings and save in Chroma vector storage:
python ingest.py
- Run the script, to process data with LLM RAG and return the answer:
python main.py "What is the invoice number value?"