ERROR Error executing verb "text_embed" in create_final_entities: setting an array element with a sequence. The requested array has an inhomogeneous shape after 1 dimensions. The detected shape was (16,) + inhomogeneous part.

[miludedeng]

book.txt has about one million words, and there was an error during the final stage of execution

23:17:40,280 datashaper.workflow.workflow ERROR Error executing verb "text_embed" in create_final_entities: setting an array element with a sequence. The requested array has an inhomogeneous shape after 1 dimensions. The detected shape was (16,) + inhomogeneous part.
Traceback (most recent call last):
  File "/opt/homebrew/Caskroom/miniconda/base/envs/graphrag/lib/python3.11/site-packages/datashaper/workflow/workflow.py", line 415, in _execute_verb
    result = await result
             ^^^^^^^^^^^^
  File "/opt/homebrew/Caskroom/miniconda/base/envs/graphrag/lib/python3.11/site-packages/graphrag/index/verbs/text/embed/text_embed.py", line 105, in text_embed
    return await _text_embed_in_memory(
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/homebrew/Caskroom/miniconda/base/envs/graphrag/lib/python3.11/site-packages/graphrag/index/verbs/text/embed/text_embed.py", line 130, in _text_embed_in_memory
    result = await strategy_exec(texts, callbacks, cache, strategy_args)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/homebrew/Caskroom/miniconda/base/envs/graphrag/lib/python3.11/site-packages/graphrag/index/verbs/text/embed/strategies/openai.py", line 61, in run
    embeddings = await _execute(llm, text_batches, ticker, semaphore)
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/homebrew/Caskroom/miniconda/base/envs/graphrag/lib/python3.11/site-packages/graphrag/index/verbs/text/embed/strategies/openai.py", line 105, in _execute
    results = await asyncio.gather(*futures)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/homebrew/Caskroom/miniconda/base/envs/graphrag/lib/python3.11/site-packages/graphrag/index/verbs/text/embed/strategies/openai.py", line 100, in embed
    result = np.array(chunk_embeddings.output)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
ValueError: setting an array element with a sequence. The requested array has an inhomogeneous shape after 1 dimensions. The detected shape was (16,) + inhomogeneous part.

my config

llm:
  api_key: ${GRAPHRAG_API_KEY}
  type: openai_chat # or azure_openai_chat
  model: qwen2:7b
  model_supports_json: true # recommended if this is available for your model.
  api_base: http://localhost:11434/v1

parallelization:
  stagger: 0.3
async_mode: threaded # or asyncio

embeddings:
  ## parallelization: override the global parallelization settings for embeddings
  async_mode: threaded # or asyncio
  llm:
    api_key: lm-studio
    type: openai_embedding # or azure_openai_embedding
    model: nomic/nomic/nomic-embed-text-v1.5.Q5_K_M.gguf
    api_base: http://localhost:8001 # 使用 llama-server 运行 nomic