Implement new embed vector and similar search - #7
Conversation
|
Caution Review failedThe pull request is closed. ℹ️ Recent review info⚙️ Run configurationConfiguration used: Organization UI Review profile: CHILL Plan: Pro Plus Run ID: ⛔ Files ignored due to path filters (1)
📒 Files selected for processing (27)
WalkthroughThis change adds opt-in embedding backends, persistent vector storage, semantic and hybrid symbol search, and resumable search API migration. It also updates MCP and CLI integrations, expands CI coverage, removes the integration workflow, and documents the new configuration and commands. ChangesSemantic Search Platform
Estimated code review effort: 5 (Critical) | ~120 minutes Possibly related PRs
Suggested reviewers: Poem
✨ Finishing Touches📝 Generate docstrings
🧪 Generate unit tests (beta)
Thanks for using CodeRabbit! It's free for OSS, and your support helps us grow. If you like it, consider giving us a shout-out. Comment |
Welcome to Codecov 🎉Once you merge this PR into your default branch, you're all set! Codecov will compare coverage reports and display results in all future pull requests. Thanks for integrating Codecov - We've got you covered ☂️ |
Summary by CodeRabbit
New Features
embedcommand to pre-download embedding models.Documentation
Chores