timothynn / timothynn/aviation-intelligence
P0: Build evidence-backed aviation RAG
Open
Nobody has claimed this yet.
enhancement
priority:P0
- Dominant language
- Python
- Stars
- 0
- Forks
- 0
- Avg merge
- 17m
- Merged PRs (30d)
- 4
Description
Implement jurisdiction-aware RAG over aviation regulatory and operational sources.
Requirements:
- hybrid retrieval
- metadata filters
- citations to source/section/page
- effective-date awareness
- answer/evidence separation
- evaluation harness
See docs/regulatory-landscape.md and docs/standards-and-data-ecosystem.md.
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reading docs/regulatory-landscape.md and docs/standards-and-data-ecosystem.md to understand the source and standards context. Use the listed requirements as the completion checklist: hybrid retrieval, metadata and effective-date handling, source/section/page citations, separated answers and evidence, and an evaluation harness.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- ai, search
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Active
- Clarity
- Mostly clear
- Newbie friendliness
- 30/100