We use Poetry to manage dependencies.

poetry init
poetry install

Create testdata directory in the root directory and add files.

Now we only support .md files.

(Optional) Create a .env file in the root directory and add the following environment variables:

LANGCHAIN_TRACING_V2=true
LANGCHAIN_API_KEY=<LANGCHAIN_API_KEY>

Note: You can get the LANGCHAIN_API_KEY from LangSmith.

Run ollama:

ollama serve

Default embedding model is chevalblanc/acge_text_embedding and default language model is qwen:4b.

Open a new terminal and run the following command:

cd src
python main.py

Then you can ask questions to the model. If you want to exit, type bye.