/weaviate_doc_helper

Primary LanguagePython

Weaviate Agent Demo

AI-powered demo app to help you use Weaviate, with a twist.

To install it, pip install the package with:

pip install weaviate-agent-demo

CLI commands

Then, try out the different CLI commands set up in src/weaviate_agent_demo/cli.py, or in pyproject.toml.

e.g.:

  • ask_llm
  • ask_basic_ragbot
  • ask_ragbot_with_reformulation
  • ask_ragbot_with_tools
  • safely_ask_ragbot_with_tools
  • ask_weaviate_agent

Dev setup

  1. Clone the repo:

    git clone https://github.com/yourusername/weaviate-agent-demo.git
cd weaviate-agent-demo

  2. Install Poetry (if not already installed):

    curl -sSL https://install.python-poetry.org | python3 -

  3. Install the project dependencies with Poetry:

    poetry install

  4. Activate the virtual environment:

    poetry shell

  5. Run a Weaviate instance (e.g., with Docker):

  6. Run the files in src/weaviate_agent_demo/db_setup to ingest data:

    python src/weaviate_agent_demo/db_setup/1_create_collection.py
python src/weaviate_agent_demo/db_setup/2_import.py

  7. You can now use the CLI commands, for example:

    ask_llm

    Then, when prompted - try queries like "How do I connect to Weaviate", or "How do I use filters with dates in hybrid search?"

Streamlit app

There is also a Streamlit app available. Try it with:

streamlit run app.py