[DOC] Fix mistakes in examples (#5839)

## Description of changes

_Summarize the changes made by this PR._

- Improvements & Bug fixes
  - #5828
- New functionality
  - N/A

## Test plan

_How are these changes tested?_

- [ ] Tests pass locally with `pytest` for python, `yarn test` for js, `cargo test` for rust

## Migration plan

_Are there any migrations, or any forwards/backwards compatibility changes needed in order to make sure this change deploys reliably?_

## Observability plan

_What is the plan to instrument and monitor this change?_

## Documentation Changes

_Are all docstrings for user-facing APIs updated if required? Do we need to make documentation changes in the [docs section](https://github.com/chroma-core/chroma/tree/main/docs/docs.trychroma.com)?_

Author: Sicheng-Pan

docs/docs.trychroma.com/markdoc/content/cloud/schema/schema-basics.md

@@ -207,7 +207,8 @@ schema.create_index(
 
 {% Tab label="typescript" %}
 ```typescript
-import { Schema, SparseVectorIndexConfig, ChromaCloudSpladeEmbeddingFunction, K } from 'chromadb';
+import { Schema, SparseVectorIndexConfig, K } from 'chromadb';
+import { ChromaCloudSpladeEmbeddingFunction } from '@chroma-core/chroma-cloud-splade';
 
 const schema = new Schema();
 

docs/docs.trychroma.com/markdoc/content/cloud/schema/sparse-vector-search.md

@@ -45,7 +45,8 @@ schema.create_index(
 
 {% Tab label="typescript" %}
 ```typescript
-import { Schema, SparseVectorIndexConfig, ChromaCloudSpladeEmbeddingFunction, K } from 'chromadb';
+import { Schema, SparseVectorIndexConfig, K } from 'chromadb';
+import { ChromaCloudSpladeEmbeddingFunction } from '@chroma-core/chroma-cloud-splade';
 
 const schema = new Schema();
 

docs/docs.trychroma.com/markdoc/content/cloud/search-api/overview.md

@@ -65,7 +65,7 @@ const result = await collection.search(search.rank(Knn({ query: queryEmbedding }
 
 // Option 2: Pass text query (embedding created using collection's schema configuration)
 const queryText = "What are the latest advances in quantum computing?";
-result = await collection.search(search.rank(Knn({ query: queryText })));
+const result2 = await collection.search(search.rank(Knn({ query: queryText })));
 ```
 {% /Tab %}
 

docs/docs.trychroma.com/markdoc/content/cloud/search-api/search-basics.md

@@ -191,14 +191,14 @@ search = Search(rank=Knn(query="artificial intelligence"))
 
 {% Tab label="typescript" %}
 ```typescript
-import { Search, K, Knn, Limit, Select } from 'chromadb';
+import { Search, K, Knn } from 'chromadb';
 
 // With expression objects
 const search1 = new Search({
   where: K("status").eq("active"),
   rank: Knn({ query: "latest research papers" }),
-  limit: new Limit({ limit: 10, offset: 0 }),
-  select: new Select([K.DOCUMENT, K.SCORE])
+  limit: { limit: 10, offset: 0 },
+  select: [K.DOCUMENT, K.SCORE]
 });
 
 // With dictionaries (MongoDB-style)