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BAML+Neo4j FastAPI Starter

Simple FastAPI server using BAML and Neo4j to parse incoming data and upload as a graph to Neo4j.

Setup

Open this project up in VSCode (we recommend only opening this folder, and not at the root, or VSCode may not detect the python environment and you may not get type completions for BAML functions).

Ensure your settings.json has:

{
  "python.analysis.typeCheckingMode": "basic"
}

Update BAML

  1. Run poetry run baml-cli generate

Running

  1. Run poetry install
  2. Copy the .env.sample file to .env
  3. Add your OpenAI and Neo4j credentials to the .env file
  4. Run poetry run baml-cli generate to create/update baml client files
  5. Run poetry run uvicorn baml_neo4j_fastapi.app:app --reload
  6. Curl the endpoint to test: 
    curl -X GET -H "Content-Type: application/json" http://localhost:8000/resume_to_graph
    Or run http://localhost:8000/docs to run FastAPIs interactive docs.