Documentalist

RAG CLI built upon 🦜🔗LangChain and 🦙Ollama to chat with your private PDF documents.

🚀 Quick Start

1. Prepare your dataset: put all the PDF documents used for training in the ./data/dataset directory.
2. Start the Ollama container: docker compose up -d (you can update the OLLAMA_MODEL environment variable defined in .env in order to pull the model of your choice).
3. Create the embeddings and query your custom LLM: poetry install && poetry run main