Incompatibility: Annlite=0.5.10 and DocArray=0.21.1

[HarveyXia2003]

Environment

New and clean python environment for testing
Python 3.12.11
annlite 0.5.10
docarray 0.21.1
numpy 2.3.1

Error Message

Traceback (most recent call last):
  File "d:\VSCProjects\annlite_test\annlite_test.py", line 28, in <module>
    results = ann.search(query)
              ^^^^^^^^^^^^^^^^^
  File "D:\conda_envs\env_annlite_test\Lib\site-packages\annlite\index.py", line 354, in search
    match_dists, match_docs = self.search_by_vectors(
                              ^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\conda_envs\env_annlite_test\Lib\site-packages\annlite\index.py", line 379, in search_by_vectors
    match_dists, match_docs = self.search_cells(
                              ^^^^^^^^^^^^^^^^^^
  File "D:\conda_envs\env_annlite_test\Lib\site-packages\annlite\container.py", line 229, in search_cells
    doc = self.doc_store(cell_id).get([doc_id])[0]
          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\conda_envs\env_annlite_test\Lib\site-packages\annlite\storage\kv.py", line 90, in get
    for doc_bytes in self._db[[k.encode() for k in doc_ids]]:
                               ^^^^^^^^
AttributeError: 'NoneType' object has no attribute 'encode'

Code (the Quick Start)

from annlite import AnnLite
from docarray import DocumentArray
import numpy as np
import os
import shutil

INDEX_PATH = '/tmp/annlite_test'
DIM = 128

# Cleanup old index
if os.path.exists(INDEX_PATH):
    shutil.rmtree(INDEX_PATH)

# 1. Initialize
ann = AnnLite(DIM, data_path=INDEX_PATH,metric='cosine')

# 2. Write 10 documents
docs = DocumentArray.empty(10)
docs.embeddings = np.random.random([10, 128]).astype(np.float32)
ann.index(docs)

# 3. Construct queries
query = DocumentArray.empty(2)
query.embeddings = np.random.random([2, 128]).astype(np.float32)

# 4. Search
# ===========
# Error occurred here in the original code
result = ann.search(query)
# ===========

for q in query:
    print(f'Query {q.id}')
    for k, m in enumerate(q.matches):
        print(f'{k}: {m.id} {m.scores["cosine"]}')

[lounging-lizard]

Second this, experiencing the same issue

Edit: my versions

python 3.12.11
annlite 0.5.10
docarray 0.21.0
numpy 2.3.2