Update README with LanceDB examples

README.md

@@ -59,6 +59,18 @@ ds = lance.dataset("hf://datasets/lance-format/pascal-voc-2012-segmentation-lanc
 print(ds.count_rows(), ds.schema.names, ds.list_indices())
 ```
 
+## Load with LanceDB
+
+These tables can also be consumed by [LanceDB](https://lancedb.github.io/lancedb/), the serverless vector database built on Lance, for simplified vector search and other queries.
+
+```python
+import lancedb
+
+db = lancedb.connect("hf://datasets/lance-format/pascal-voc-2012-segmentation-lance/data")
+tbl = db.open_table("train")
+print(f"LanceDB table opened with {len(tbl)} image-mask pairs")
+```
+
 ## Working with images and masks
 
 ```python
@@ -94,6 +106,26 @@ neighbors = ds.scanner(
 ).to_table().to_pylist()
 ```
 
+### LanceDB vector search
+
+```python
+import lancedb
+
+db = lancedb.connect("hf://datasets/lance-format/pascal-voc-2012-segmentation-lance/data")
+tbl = db.open_table("train")
+
+ref = tbl.search().limit(1).select(["image_emb"]).to_list()[0]
+query_embedding = ref["image_emb"]
+
+results = (
+    tbl.search(query_embedding)
+    .metric("cosine")
+    .select(["id"])
+    .limit(5)
+    .to_list()
+)
+```
+
 ## Why Lance?
 
 - One dataset carries images + masks + embeddings + indices — no sidecar files.