Update docs to reflect NDArray support with NumPy dtypes

Author: lemorage

docs/docs/core/data_types.mdx

@@ -36,8 +36,8 @@ This is the list of all basic types supported by CocoIndex:
 | LocalDatetime | Date and time without timezone | `cocoindex.LocalDateTime` | `datetime.datetime` |
 | OffsetDatetime | Date and time with a timezone offset | `cocoindex.OffsetDateTime` | `datetime.datetime` |
 | TimeDelta | A duration of time | `datetime.timedelta` | `datetime.timedelta` |
-| Vector[*T*, *Dim*?] | *T* must be basic type. *Dim* is a positive integer and optional. |`cocoindex.Vector[T]` or `cocoindex.Vector[T, Dim]` | `list[T]` | 
 | Json | | `cocoindex.Json` | Any data convertible to JSON by `json` package | 
+| Vector[*T*, *Dim*?] | A vector of numbers with type *T* (`np.float32`, `np.float64`, `np.int32`, `np.int64`, `np.uint8`, `np.uint16`, `np.uint32`, or `np.uint64`). *Dim* is a positive integer and optional. | `cocoindex.Vector[T]` or `cocoindex.Vector[T, Dim]` | `numpy.typing.NDArray[T]` or `list[T]` |
 
 Values of all data types can be represented by values in Python's native types (as described under the Native Python Type column).
 However, the underlying execution engine and some storage system (like Postgres) has finer distinctions for some types, specifically:

python/cocoindex/functions.py

@@ -3,6 +3,7 @@
 from typing import Annotated, Any, TYPE_CHECKING, Literal
 import numpy as np
 from numpy.typing import NDArray
+import dataclasses
 
 from .typing import Float32, Vector, TypeAttr
 from . import op, llm