fix ann docs

.github/workflows/docs_test.yml

@@ -88,9 +88,6 @@ jobs:
         cd docs/test
         node md_testing.js
     - name: Test
-      env:
-        LANCEDB_URI: ${{ secrets.LANCEDB_URI }}
-        LANCEDB_DEV_API_KEY: ${{ secrets.LANCEDB_DEV_API_KEY }}
       run: |
         cd docs/test/node
         for d in *; do cd "$d"; echo "$d".js; node "$d".js; cd ..; done

docs/src/javascript/saas-modules.md

@@ -37,21 +37,17 @@ yet support Windows or musl-based Linux (such as Alpine Linux).
 
 ## Example code 
 ```javascript
-
 const lancedb = require('vectordb');
-const { Schema, Field, Int32, Float32, Utf8, FixedSizeList } = require ("apache-arrow/Arrow.node")
+const { Schema, Field, Int32, FixedSizeList, Float32 } = require('apache-arrow/Arrow.node')
 
 // connect to a remote DB
-const devApiKey = process.env.LANCEDB_DEV_API_KEY
-const dbURI = process.env.LANCEDB_URI
-console.log(devApiKey)
 const db = await lancedb.connect({
-  uri: dbURI, // replace dbURI with your project, e.g. "db://your-project-name"
-  apiKey: devApiKey,  // replace dbURI with your api key
-  region: "us-east-1-dev"
+  uri: "db://your-project-name",
+  apiKey: "sk_...",
+  region: "us-east-1"
 });
 // create a new table
-const tableName = "my_table_000"
+const tableName = "my_table"
 const data = [
     { id: 1, vector: [0.1, 1.0], item: "foo", price: 10.0 },
     { id: 2, vector: [3.9, 0.5], item: "bar", price: 20.0 }
@@ -60,7 +56,7 @@ const schema = new Schema(
     [
         new Field('id', new Int32()), 
         new Field('vector', new FixedSizeList(2, new Field('float32', new Float32()))),
-        new Field('item', new Utf8()),
+        new Field('item', new String()),
         new Field('price', new Float32())
     ]
 )
@@ -76,11 +72,11 @@ const newData = [
       { id: 3, vector: [10.3, 1.9], item: "test1", price: 30.0 }, 
       { id: 4, vector: [6.2, 9.2], item: "test2", price: 40.0 }
 ]
-await table.add(newData)
+table.add(newData)
 // create the index for the table
 await table.createIndex({
-      metric_type: "L2", 
-      column: "vector"
+      metric_type: 'L2', 
+      column: 'vector'
 })
 let result = await table.search([2.8, 4.3]).select(["vector", "price"]).limit(1).execute()
 // update the data