Flight Log / giselles-ai/giselle #909
feat: implement Query Node with RAG functionality and Vector Store integration — a Claude Code (Anthropic) flight by Satoshi Ebisawa
Satoshi Ebisawa (@satococoa) opened this Claude Code (Anthropic) pull request in giselles-ai/giselle on May 21, 2025; a burn — closed unmerged after human review: +3,847 −967, 55 files, 10 reviews.
Flown by
- Lines
- +3,847 −967
- Files
- 55
- Commits
- 30
- Reviews
- 10
- To merge
- —
- Task
- feat
Line and file counts are summed per commit from the AIDev dataset; GitHub's net diff can be smaller.
The task was a feat adding a Query Node for RAG queries on Vector Store nodes in the giselle-ai/giselle repository, spanning 55 files, 30 commits, 3847 additions and 967 deletions. The agent's pull request received 10 reviews and six review comments, with zero change requests. It was closed unmerged after human review, a burn.
“What and how should I review a 3000-line diff?”
— from the review (source)
From the pull request description
## Summary This PR introduces the Query Node, a new node type that enables users to perform RAG (Retrieval-Augmented Generation) queries on existing Vector Store nodes directly within workflows. Users can now search through GitHub repositories and other vector stores using natural language queries.…
Excerpt (first 300 characters) — the full description is on GitHub.
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Cite this flight: AgentRiders Flight Log, giselles-ai/giselle#909, record updated Nov 4, 2026, https://agentriders.com/logs/giselles-ai/giselle/909/
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