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This commit integrates the LangflowFileService into main.py, enabling the management of user files through new asynchronous API endpoints for file upload, ingestion, and deletion. The changes enhance the application's functionality and maintainability by providing structured access to Langflow file operations, while ensuring proper authentication and session management for each endpoint. |
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|---|---|---|
| .github/workflows | ||
| documents | ||
| flows | ||
| frontend | ||
| keys | ||
| securityconfig | ||
| src | ||
| .dockerignore | ||
| .env.example | ||
| .gitignore | ||
| .python-version | ||
| docker-compose-cpu.yml | ||
| docker-compose.yml | ||
| Dockerfile | ||
| Dockerfile.backend | ||
| Dockerfile.frontend | ||
| pyproject.toml | ||
| README.md | ||
| uv.lock | ||
| warm_up_docling.py | ||
OpenRAG
getting started
Set up your secrets:
cp .env.example .env
Populate the values in .env
Requirements:
Docker or podman with compose installed.
Run OpenRAG:
docker compose build
docker compose up
CPU only:
docker compose -f docker-compose-cpu.yml up
If you need to reset state:
docker compose up --build --force-recreate --remove-orphans
For podman on mac you may have to increase your VM memory (podman stats should not show limit at only 2gb):
podman machine stop
podman machine rm
podman machine init --memory 8192 # example: 8 GB
podman machine start