Debanjum f2bd07044e Speed up github workflows by not installing cuda server dependencies ...

- CI runners don't have GPUs
- Pytorch related Nvidia cuda packages are not required for testing,
  evals or pre-commit checks.
- Avoiding these massive downloads should speed up workflow run.

2025-08-01 23:35:08 -07:00

..

build_khoj_el.yml

Make release/1.x a privileged branch to run workflows, create releases

2025-07-06 09:28:16 -07:00

desktop.yml

Make release/1.x a privileged branch to run workflows, create releases

2025-07-06 09:28:16 -07:00

dockerize_telemetry_server.yml

Push telemetry to Posthog to grok Khoj usage

2023-06-05 22:47:49 +05:30

dockerize.yml

Make release/1.x a privileged branch to run workflows, create releases

2025-07-06 09:28:16 -07:00

github_pages_deploy.yml

Give a shorter, simpler name to github workflow to deploy docs

2025-01-12 10:54:56 +07:00

pre-commit.yml

Speed up github workflows by not installing cuda server dependencies

2025-08-01 23:35:08 -07:00

pypi.yml

Switch to Bun instead of Deno (or Yarn) for faster web app builds

2025-08-01 03:00:43 -07:00

release.yml

Upgrade upload-artifact gh action to v4 as <=v3 deprecated

2025-01-10 00:41:24 +07:00

run_evals.yml

Speed up github workflows by not installing cuda server dependencies

2025-08-01 23:35:08 -07:00

test_khoj_el.yml

Make release/1.x a privileged branch to run workflows, create releases

2025-07-06 09:28:16 -07:00

test.yml

Speed up github workflows by not installing cuda server dependencies

2025-08-01 23:35:08 -07:00