diff --git a/docs/docs/core/data_types.mdx b/docs/docs/core/data_types.mdx
index 01703bb5f..6cc67467e 100644
--- a/docs/docs/core/data_types.mdx
+++ b/docs/docs/core/data_types.mdx
@@ -24,6 +24,7 @@ This is the list of all basic types supported by CocoIndex:
 | float32 | `cocoindex.typing.Float32` |`float` | 
 | float64 |  `cocoindex.typing.Float64` |`float` |
 | range | `cocoindex.typing.Range`  | `tuple[int, int]` |
+| uuid | `uuid.UUId` | `uuid.UUID` |
 | vector[*type*, *N*?] |`Annotated[list[type], cocoindex.typing.Vector(dim=N)]` | `list[type]` | 
 | json | `cocoindex.typing.Json` | Any type convertible to JSON by `json` package | 
 
@@ -73,6 +74,7 @@ Currently, the following types are supported as types for key fields:
 - `bool`
 - `int64`
 - `range`
+- `uuid`
 - Struct with all fields being key types
 
 ### Vector Type
diff --git a/python/cocoindex/convert.py b/python/cocoindex/convert.py
index a368ee8cd..d8e8d0ba5 100644
--- a/python/cocoindex/convert.py
+++ b/python/cocoindex/convert.py
@@ -3,6 +3,7 @@
 """
 import dataclasses
 import inspect
+import uuid
 
 from typing import Any, Callable
 from .typing import analyze_type_info, COLLECTION_TYPES
@@ -13,6 +14,8 @@ def to_engine_value(value: Any) -> Any:
         return [to_engine_value(getattr(value, f.name)) for f in dataclasses.fields(value)]
     if isinstance(value, (list, tuple)):
         return [to_engine_value(v) for v in value]
+    if isinstance(value, uuid.UUID):
+        return value.bytes
     return value
 
 def make_engine_value_converter(
@@ -62,6 +65,9 @@ def make_engine_value_converter(
         field_path.pop()
         return lambda value: [elem_converter(v) for v in value] if value is not None else None
 
+    if src_type_kind == 'Uuid':
+        return lambda value: uuid.UUID(bytes=value)
+
     return lambda value: value
 
 def _make_engine_struct_value_converter(
diff --git a/python/cocoindex/typing.py b/python/cocoindex/typing.py
index a626d9046..2a17b702f 100644
--- a/python/cocoindex/typing.py
+++ b/python/cocoindex/typing.py
@@ -3,6 +3,7 @@
 import dataclasses
 import types
 import inspect
+import uuid
 from typing import Annotated, NamedTuple, Any, TypeVar, TYPE_CHECKING, overload
 
 class Vector(NamedTuple):
@@ -130,6 +131,8 @@ def analyze_type_info(t) -> AnalyzedTypeInfo:
             kind = 'Int64'
         elif t is float:
             kind = 'Float64'
+        elif t is uuid.UUID:
+            kind = 'Uuid'
         else:
             raise ValueError(f"type unsupported yet: {t}")
 
diff --git a/src/py/convert.rs b/src/py/convert.rs
index 84d009695..02bf59dbb 100644
--- a/src/py/convert.rs
+++ b/src/py/convert.rs
@@ -63,17 +63,14 @@ fn basic_value_to_py_object<'py>(
         value::BasicValue::Int64(v) => v.into_bound_py_any(py)?,
         value::BasicValue::Float32(v) => v.into_bound_py_any(py)?,
         value::BasicValue::Float64(v) => v.into_bound_py_any(py)?,
+        value::BasicValue::Range(v) => pythonize(py, v).into_py_result()?,
+        value::BasicValue::Uuid(v) => v.as_bytes().into_bound_py_any(py)?,
+        value::BasicValue::Json(v) => pythonize(py, v).into_py_result()?,
         value::BasicValue::Vector(v) => v
             .iter()
             .map(|v| basic_value_to_py_object(py, v))
             .collect::<PyResult<Vec<_>>>()?
             .into_bound_py_any(py)?,
-        _ => {
-            return Err(PyException::new_err(format!(
-                "unsupported value type: {}",
-                v.kind()
-            )))
-        }
     };
     Ok(result)
 }
@@ -129,18 +126,19 @@ fn basic_value_from_py_object<'py>(
         schema::BasicValueType::Int64 => value::BasicValue::Int64(v.extract::<i64>()?),
         schema::BasicValueType::Float32 => value::BasicValue::Float32(v.extract::<f32>()?),
         schema::BasicValueType::Float64 => value::BasicValue::Float64(v.extract::<f64>()?),
+        schema::BasicValueType::Range => value::BasicValue::Range(depythonize(v)?),
+        schema::BasicValueType::Uuid => {
+            value::BasicValue::Uuid(uuid::Uuid::from_bytes(v.extract::<uuid::Bytes>()?))
+        }
+        schema::BasicValueType::Json => {
+            value::BasicValue::Json(Arc::from(depythonize::<serde_json::Value>(v)?))
+        }
         schema::BasicValueType::Vector(elem) => value::BasicValue::Vector(Arc::from(
             v.extract::<Vec<Bound<'py, PyAny>>>()?
                 .into_iter()
                 .map(|v| basic_value_from_py_object(&elem.element_type, &v))
                 .collect::<PyResult<Vec<_>>>()?,
         )),
-        _ => {
-            return Err(PyException::new_err(format!(
-                "unsupported value type: {}",
-                typ
-            )))
-        }
     };
     Ok(result)
 }