diff --git a/cognee/tasks/schema/ingest_database_schema.py b/cognee/tasks/schema/ingest_database_schema.py
new file mode 100644
index 000000000..6f9c538cd
--- /dev/null
+++ b/cognee/tasks/schema/ingest_database_schema.py
@@ -0,0 +1,22 @@
+from typing import List, Dict
+from cognee.infrastructure.engine.models.DataPoint import DataPoint
+
+async def ingest_database_schema(
+    database_config: Dict,
+    schema_name: str = "default",
+    max_sample_rows: int = 5,
+    node_set: List[str] = ["database_schema"]
+) -> List[DataPoint]:
+    """
+    Ingest database schema with sample data into dedicated nodeset
+    
+    Args:
+        database_config: Database connection configuration
+        schema_name: Name identifier for this schema
+        max_sample_rows: Maximum sample rows per table
+        node_set: Target nodeset (default: ["database_schema"])
+    
+    Returns:
+        List of created DataPoint objects
+    """
+    pass
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diff --git a/cognee/tasks/schema/models.py b/cognee/tasks/schema/models.py
new file mode 100644
index 000000000..b38ec5ff5
--- /dev/null
+++ b/cognee/tasks/schema/models.py
@@ -0,0 +1,32 @@
+from cognee.infrastructure.engine.models.DataPoint import DataPoint
+from typing import List, Dict, Optional
+from datetime import datetime
+
+class DatabaseSchema(DataPoint):
+    """Represents a complete database schema with sample data"""
+    schema_name: str
+    database_type: str  # sqlite, postgres, etc.
+    tables: Dict[str, Dict]  # Reuse existing schema format from SqlAlchemyAdapter
+    sample_data: Dict[str, List[Dict]]  # Limited examples per table
+    extraction_timestamp: datetime
+    metadata: dict = {"index_fields": ["schema_name", "database_type"]}
+
+class SchemaTable(DataPoint):
+    """Represents an individual table schema with relationships"""
+    table_name: str
+    schema_name: str
+    columns: List[Dict]  # Column definitions with types
+    primary_key: Optional[str]
+    foreign_keys: List[Dict]  # Foreign key relationships
+    sample_rows: List[Dict]  # Max 3-5 example rows
+    row_count_estimate: Optional[int]  # Actual table size
+    metadata: dict = {"index_fields": ["table_name", "schema_name"]}
+
+class SchemaRelationship(DataPoint):
+    """Represents relationships between tables"""
+    source_table: str
+    target_table: str
+    relationship_type: str  # "foreign_key", "one_to_many", etc.
+    source_column: str
+    target_column: str
+    metadata: dict = {"index_fields": ["source_table", "target_table"]}
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