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Add dot product support (#239)

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Closes #207
This commit is contained in:
Lei Xu
2023-06-29 10:32:01 -07:00
committed by GitHub
parent 39479dcf8e
commit 051c03c3c9
2 changed files with 11 additions and 5 deletions
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9
docs/src/search.md
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@@ -17,7 +17,8 @@ Currently, we support the following metrics:
| Metric | Description |
| ----------- | ------------------------------------ |
| `L2` | [Euclidean / L2 distance](https://en.wikipedia.org/wiki/Euclidean_distance) |
<!-- | `Cosine` | [Cosine Similarity](https://en.wikipedia.org/wiki/Cosine_similarity)| -->
| `Cosine` | [Cosine Similarity](https://en.wikipedia.org/wiki/Cosine_similarity)|
| `Dot` | [Dot Production](https://en.wikipedia.org/wiki/Dot_product) |
## Search
@@ -29,7 +30,7 @@ If there is no [vector index is created](ann_indexes.md), LanceDB will just brut
the vector column and compute the distance.
<!-- Setup Code
```python
```python
import lancedb
import numpy as np
uri = "data/sample-lancedb"
@@ -42,7 +43,7 @@ db.create_table("my_vectors", data=data)
```
-->
<!-- Setup Code
```javascript
```javascript
const vectordb_setup = require('vectordb')
const db_setup = await vectordb_setup.connect('data/sample-lancedb')
@@ -59,7 +60,7 @@ await db_setup.createTable('my_vectors', data)
```python
import lancedb
import numpy as np
db = lancedb.connect("data/sample-lancedb")
tbl = db.open_table("my_vectors")