diff --git a/docs/indexing/index.mdx b/docs/indexing/index.mdx
index a6e72a8..815cf5f 100644
--- a/docs/indexing/index.mdx
+++ b/docs/indexing/index.mdx
@@ -33,7 +33,7 @@ LanceDB provides a comprehensive suite of indexing strategies for different data
 | `FTS` (Full-text search) | String columns (e.g., title, description, content) requiring keyword-based search with BM25 ranking. | Full-text search index using BM25 ranking algorithm. Tokenizes text with configurable tokenization, stemming, stop word removal, and language-specific processing. |
 | `BTree` (Scalar) | Numeric, temporal, and string columns with mostly distinct values. Best for highly selective queries on columns with many unique values. | Sorted index storing sorted copies of scalar columns with block headers in a btree cache. Header entries map to blocks of rows (4096 rows per block) for efficient disk reads. |
 | `Bitmap` (Scalar) | Low-cardinality columns with few thousand or fewer distinct values. Accelerates equality and range filters. | Stores a bitmap for each distinct value in the column, with one bit per row indicating presence. Memory-efficient for low-cardinality data. |
-| `LabelList` (Scalar) | List columns (e.g., tags, categories, keywords) requiring array containment queries. | Scalar index for `List<T>` columns using an underlying bitmap index structure to enable fast array membership lookups. |
+| `LabelList` (Scalar) | List columns (e.g., tags, categories, keywords) requiring array containment queries. | Scalar index for `List<T>` and `LargeList<T>` columns of primitive values, using an underlying bitmap index structure to enable fast array membership lookups. |
 
 <Note>
 TypeScript currently doesn't support `IvfSq` (IVF with Scalar Quantization).
diff --git a/docs/indexing/scalar-index.mdx b/docs/indexing/scalar-index.mdx
index a835c4c..7e71459 100644
--- a/docs/indexing/scalar-index.mdx
+++ b/docs/indexing/scalar-index.mdx
@@ -24,7 +24,7 @@ LanceDB supports four types of scalar indexes:
 
 - `BTREE`: Stores column data in sorted order for binary search. Best for columns with many unique values.
 - `BITMAP`: Uses bitmaps to track value presence. Ideal for columns with few unique values (e.g., categories, tags).
-- `LABEL_LIST`: Special index for `List<T>` columns supporting `array_contains_all` and `array_contains_any` queries.
+- `LABEL_LIST`: Special index for `List<T>` and `LargeList<T>` columns of primitive values supporting `array_contains_all` and `array_contains_any` queries.
 - `FM`: FM-Index over string or binary columns that accelerates substring search via `contains(col, 'needle')`.
 
 ## Choosing the Right Index Type