diff --git a/concepts/user-folder-scoping.mdx b/concepts/user-folder-scoping.mdx
index 4b68f95..71cc542 100644
--- a/concepts/user-folder-scoping.mdx
+++ b/concepts/user-folder-scoping.mdx
@@ -103,6 +103,49 @@ async with AsyncMorphik() as db:
 - Scopes can be used for both reading and writing operations
 - User and folder information is stored as metadata with the documents, so you can still filter across scopes with explicit filter parameters if needed
 
+## Filtering by Folder Name in Metadata
+
+When you ingest documents in a folder with the `folder_name` parameter, that value is automatically available in the document's metadata for filtering. This enables powerful cross-folder queries using Morphik's metadata filter operators:
+
+```python
+from morphik import Morphik
+
+db = Morphik()
+
+# Filter documents from multiple folders
+filters = {
+    "folder_name": {"$in": ["legal", "hr", "finance"]}
+}
+docs = db.list_documents(filters=filters)
+
+# Combine folder filtering with other metadata
+filters = {
+    "$and": [
+        {"folder_name": {"$regex": {"pattern": "^project_", "flags": "i"}}},
+        {"status": "active"},
+        {"priority": {"$gte": 70}}
+    ]
+}
+response = db.query("What are the high-priority project updates?", filters=filters)
+
+# Exclude specific folders
+filters = {
+    "$and": [
+        {"folder_name": {"$nin": ["archived", "drafts"]}},
+        {"created_date": {"$gte": "2024-01-01"}}
+    ]
+}
+chunks = db.retrieve_chunks("quarterly report", filters=filters, k=10)
+```
+
+This approach is useful when you need to:
+- Query across multiple folders simultaneously
+- Use pattern matching on folder names
+- Combine folder filters with complex metadata conditions
+- Build dynamic queries where folder selection isn't known at scope creation time
+
+For more filtering examples, see the [Complex Metadata Filtering](/cookbooks/complex-metadata-filtering) cookbook and [Metadata Filtering](/concepts/metadata-filtering) reference.
+
 ## Use Cases
 
 ### Multi-Project Research Team
diff --git a/cookbooks/complex-metadata-filtering.mdx b/cookbooks/complex-metadata-filtering.mdx
index 8932ef0..546f06e 100644
--- a/cookbooks/complex-metadata-filtering.mdx
+++ b/cookbooks/complex-metadata-filtering.mdx
@@ -99,6 +99,40 @@ filters = {
 }
 ```
 
+### Filtering by Folder Name
+
+Documents ingested with a `folder_name` parameter can be filtered using that value in metadata. This enables cross-folder queries and pattern matching:
+
+```python
+# Filter specific folder
+filters = {"folder_name": "reports"}
+
+# Query multiple folders
+filters = {
+    "folder_name": {"$in": ["reports", "invoices", "contracts"]}
+}
+
+# Exclude archived folders
+filters = {
+    "folder_name": {"$nin": ["archived", "drafts", "test"]}
+}
+
+# Pattern matching on folder names
+filters = {
+    "folder_name": {"$regex": {"pattern": "^project_", "flags": "i"}}
+}
+
+# Combine folder with other metadata
+filters = {
+    "$and": [
+        {"folder_name": {"$in": ["legal", "compliance"]}},
+        {"priority": {"$gte": 70}},
+        {"status": "active"},
+        {"year": 2024}
+    ]
+}
+```
+
 ## 3. List Documents with Filters
 
 Find documents matching your criteria:
diff --git a/python-sdk/query.mdx b/python-sdk/query.mdx
index 51c9fe1..6730718 100644
--- a/python-sdk/query.mdx
+++ b/python-sdk/query.mdx
@@ -85,6 +85,23 @@ response = db.query(
 )
 ```
 
+You can also filter by folder name and use expressive operators like `$in`, `$regex`, and `$nin`:
+
+```python
+# Query across multiple folders
+filters = {
+    "$and": [
+        {"folder_name": {"$in": ["reports", "invoices"]}},
+        {"year": 2024},
+        {"priority": {"$gte": 50}}
+    ]
+}
+
+response = db.query("What are the key financial highlights?", filters=filters)
+```
+
+For more advanced filtering patterns, see the [Complex Metadata Filtering cookbook](/cookbooks/complex-metadata-filtering).
+
 ## Returns
 
 - `CompletionResponse`: Response containing the completion, source information, and potentially structured output.