No description
6d0a94e4b4
This commit updates the service initialization in main.py to replace the existing ConnectorService with LangflowConnectorService. This change enhances the management of connector documents by leveraging the new service's capabilities, aligning with the ongoing improvements in asynchronous processing and code maintainability. |
||
|---|---|---|
| .github/workflows | ||
| documents | ||
| flows | ||
| frontend | ||
| keys | ||
| securityconfig | ||
| src | ||
| .dockerignore | ||
| .DS_Store | ||
| .env.example | ||
| .gitignore | ||
| .python-version | ||
| docker-compose-cpu.yml | ||
| docker-compose.yml | ||
| Dockerfile | ||
| Dockerfile.backend | ||
| Dockerfile.frontend | ||
| Dockerfile.langflow | ||
| Makefile | ||
| 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