microsoft / microsoft/rag-experiment-accelerator
Enable Prompt-like Interaction with the Accelerator
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 311
- Forks
- 111
- PR merge metrics
- No merged PRs in 30d
Description
Interactive tool which helps user choose intent, query type, understand their data and possible label sets, focus on different relevant parts of the documents to generate different results to help user choose what makes most sense.
Can be summarized as content understanding and intent understanding:
- Understanding source of data, potential sources of data and type of data
- Leveraging CMS sources including metadata
- Questions to identify what content processing would work best
- Questions to identify intent - Comparison intent, search intent, opinion intent
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
No file, test, or entry point is identified in the issue, so begin by mapping the repository's Python entry points and existing RAG and Azure Cognitive Search flows. Define the interaction scope, supported data and intent questions, and a testable completion criterion before implementation.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- azure, python
- Domain
- ai, search, tooling
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100