[Model]: s2593817/sft-sql-embedding
Open
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 3.2k
- Forks
- 248
- Avg merge
- 4d 8h
- Merged PRs (30d)
- 4
Description
Which model would you like to support?
https://huggingface.co/s2593817/sft-sql-embedding
What are the main advantages of this model?
State of the art model in a RAG system for SQL databases
Contributor guide
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 with the Hugging Face model page for s2593817/sft-sql-embedding and inspect FastEmbed’s existing model-support entry points for comparable embedding models. Done means this SQL-focused embedding model is supported and usable in a RAG system for SQL databases, with the relevant checks passing.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Quiet
- Clarity
- Mostly clear
- Newbie friendliness
- 48/100