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doc(javascript): minor improvement on docs for working with tables (#736)
Closes #639 Closes #638
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@@ -22,7 +22,7 @@ import numpy as np
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uri = "data/sample-lancedb"
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db = lancedb.connect(uri)
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data = [{"vector": row, "item": f"item {i}"}
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data = [{"vector": row, "item": f"item {i}", "id": i}
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for i, row in enumerate(np.random.random((10_000, 2)).astype('int'))]
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tbl = db.create_table("my_vectors", data=data)
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@@ -35,33 +35,25 @@ const db = await vectordb.connect('data/sample-lancedb')
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let data = []
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for (let i = 0; i < 10_000; i++) {
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data.push({vector: Array(1536).fill(i), id: `${i}`, content: "", longId: `${i}`},)
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data.push({vector: Array(1536).fill(i), id: i, item: `item ${i}`, strId: `${i}`})
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}
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const tbl = await db.createTable('my_vectors', data)
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const tbl = await db.createTable('myVectors', data)
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```
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-->
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=== "Python"
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```python
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tbl.search([100, 102]) \
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.where("""(
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(label IN [10, 20])
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AND
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(note.email IS NOT NULL)
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) OR NOT note.created
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""")
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.where("(item IN ('item 0', 'item 2')) AND (id > 10)") \
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.to_arrow()
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```
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=== "Javascript"
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```javascript
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tbl.search([100, 102])
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.where(`(
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(label IN [10, 20])
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AND
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(note.email IS NOT NULL)
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) OR NOT note.created
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`)
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await tbl.search(Array(1536).fill(0))
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.where("(item IN ('item 0', 'item 2')) AND (id > 10)")
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.execute()
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```
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@@ -118,3 +110,22 @@ The mapping from SQL types to Arrow types is:
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[^1]: See precision mapping in previous table.
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## Filtering without Vector Search
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You can also filter your data without search.
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=== "Python"
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```python
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tbl.search().where("id=10").limit(10).to_arrow()
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```
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=== "JavaScript"
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```javascript
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await tbl.where('id=10').limit(10).execute()
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```
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!!! warning
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If your table is large, this could potentially return a very large
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amount of data. Please be sure to use a `limit` clause unless
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you're sure you want to return the whole result set.
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