Skip to content

fix: Fix DIM support in vertor search #119

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
Xuanwo merged 1 commit into from
Dec 31, 2025
Merged

fix: Fix DIM support in vertor search #119

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
8 changes: 4 additions & 4 deletions README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -137,7 +137,7 @@ SELECT count(*) FROM lance_ns.main.my_dataset;
```sql
-- Search a vector column, returning distances in `_distance` (smaller is closer)
SELECT id, label, _distance
FROM lance_vector_search('path/to/dataset.lance', 'vec', [0.1, 0.2, 0.3, 0.4]::FLOAT[],
FROM lance_vector_search('path/to/dataset.lance', 'vec', [0.1, 0.2, 0.3, 0.4]::FLOAT[4],
k = 5, prefilter = true)
ORDER BY _distance ASC;
```
Expand All @@ -146,7 +146,7 @@ ORDER BY _distance ASC;
- Positional arguments:
- `uri` (VARCHAR): Dataset root path or object store URI (e.g. `s3://...`).
- `vector_column` (VARCHAR): Vector column name.
- `query_vector` (FLOAT[] or DOUBLE[]): Query vector (must be non-empty; values are cast to float32).
- `query_vector` (FLOAT[dim] or DOUBLE[dim], preferred): Query vector (must be non-empty; values are cast to float32). `FLOAT[]` / `DOUBLE[]` are also accepted.
- Named parameters:
- `k` (BIGINT, default `10`): Number of results to return.
- `prefilter` (BOOLEAN, default `false`): If `true`, filters are applied before top-k selection.
Expand Down Expand Up @@ -181,7 +181,7 @@ ORDER BY _score DESC;
-- Combine vector and text scores, returning `_hybrid_score` in addition to `_distance` / `_score`
SELECT id, _hybrid_score, _distance, _score
FROM lance_hybrid_search('path/to/dataset.lance',
'vec', [0.1, 0.2, 0.3, 0.4]::FLOAT[],
'vec', [0.1, 0.2, 0.3, 0.4]::FLOAT[4],
'text', 'puppy',
k = 10, prefilter = false,
alpha = 0.5, oversample_factor = 4)
Expand All @@ -192,7 +192,7 @@ ORDER BY _hybrid_score DESC;
- Positional arguments:
- `uri` (VARCHAR): Dataset root path or object store URI (e.g. `s3://...`).
- `vector_column` (VARCHAR): Vector column name.
- `query_vector` (FLOAT[] or DOUBLE[]): Query vector (must be non-empty; values are cast to float32).
- `query_vector` (FLOAT[dim] or DOUBLE[dim], preferred): Query vector (must be non-empty; values are cast to float32). `FLOAT[]` / `DOUBLE[]` are also accepted.
- `text_column` (VARCHAR): Text column name.
- `query` (VARCHAR): Query string.
- Named parameters:
Expand Down
Loading