microsoft / microsoft/rag-experiment-accelerator
Provide Final Recommendation for Experiment Strategies
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Must have
- Dominant language
- Python
- Stars
- 311
- Forks
- 111
- PR merge metrics
- No merged PRs in 30d
Description
The final evaluation of the RAG Pattern, there should be a recommendation on the strategies within each step of the RAG Experiment Accelerator that would provide the best results.
Contributor guide
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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
Review the RAG Pattern and the strategies used at each step of the RAG Experiment Accelerator. Define how the final evaluation should compare those strategies and what evidence supports a recommendation. Done means the accelerator has a clear recommendation for the best-performing strategy at each step.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- azure, python
- Domain
- ai, search
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100