microsoft / microsoft/rag-experiment-accelerator
Augmentation of ingested data
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Good have
- Dominant language
- Python
- Stars
- 311
- Forks
- 111
- PR merge metrics
- No merged PRs in 30d
Description
Current implementation captures the "title" and "summary", will need to include keywords, keyphrases, and entities. Need to edit the prompts.py and acs_ingest.py files to request that the LLM generate keywords and entities.
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 prompts.py and acs_ingest.py to trace how title and summary are requested and captured. Update the ingestion flow so it requests and includes keywords, keyphrases, and entities, then verify that the augmented fields are present in ingested data.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- azure, python
- Domain
- data, search
- Issue type
- Feature
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Clearly specified
- Newbie friendliness
- 52/100