Implement vector search
- Dominant language
- Python
- Stars
- 6
- Forks
- 4
- PR merge metrics
- No merged PRs in 30d
Description
CrateDB supports vector search, there are two components for this feature, the column datatype [FLOAT_VECTOR](https://cratedb.com/docs/crate/reference/en/latest/general/ddl/data-types.html#float-vector) and the [knn_match](https://cratedb.com/docs/crate/reference/en/latest/general/builtins/scalar-functions.html#knn-match-float-vector-float-vector-int) function to perform vector search.
Django does not support vector fields natively, we'd have to create it ourselves.
cc @amotl
Contributor guide
Research direction
Start by reading the linked CrateDB FLOAT_VECTOR and knn_match documentation, then inspect this backend for existing Django field and search-function integration points. Done means Django supports the FLOAT_VECTOR datatype and exposes vector search through knn_match, with the expected behavior covered by tests; the issue does not name specific files or tests.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- django, python
- Domain
- backend, databases
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 30/100