INCATools / INCATools/ubergraph
Add text embedding vectors
- Dominant language
- Makefile
- Stars
- 53
- Forks
- 6
- PR merge metrics
- No merged PRs in 30d
Description
This would be an alternative to informationContent for calculating semantic distance between two terms
Note that OLS now has vector embeddings, I think most of UG is in OLS, so could harvest from there, also use the same cache strategy as James
https://github.com/cthoyt/ols-client/issues/9
Contributor guide
No contributing guide indexed for this repository
Research direction
Start by locating the existing informationContent calculation and review the OLS vector-embeddings work referenced in cthoyt/ols-client#9. Compare the available OLS coverage with UG, then determine the cache strategy mentioned in the issue. Done means semantic distance between two terms can use text embedding vectors as an alternative to informationContent.
Written by the indexing model from the issue text.
Assessment
- Domain
- data, machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100