MaartenGr / MaartenGr/PolyFuzz
Faiss
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 803
- Forks
- 72
- PR merge metrics
- No merged PRs in 30d
Description
[Faiss](https://github.com/facebookresearch/faiss) allows you to efficiently search and cluster dense vectors. This could be beneficial when comparing the cosine similarities between vectors in the TF-IDF and Embeddings model.
However, since it is a conda-only install and not pip-based and there is currently no Windows version (aside from the nightly version) it is best to postpone this until the windows version is stable. This would also require the user to install Faiss before installing PolyFuzz which does not help the user experience.
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 files, tests, or entry points are named. Start by reviewing how the TF-IDF and Embeddings models currently compare vectors, then investigate Faiss installation support on Windows and its conda-only dependency requirements. Done would require a decided integration scope and a supported installation path.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100