Following tutorial 'Using LlamaIndex and llamafile to build a local, private research assistant'

[muz-sup]

https://www.llamaindex.ai/blog/using-llamaindex-and-llamafile-to-build-a-local-private-research-assistant

Hello,

I am following the above tutorial and am getting the below error.
System: Ubuntu 22.04 LTS

$ python3 llamafile-llamaindex-tut.py
Loading files: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 2/2 [00:00<00:00, 222.80file/s]
Parsing nodes: 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 2/2 [00:00<00:00, 27.68it/s]
Generating embeddings: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▍| 210/211 [04:55<00:01,  1.41s/it]Traceback (most recent call last):

  File "/home/xyz/llms/llamafile-llamaindex-tut.py", line 49, in <module>
    index = VectorStoreIndex.from_documents(
 
  File "/home/xyz/.local/lib/python3.10/site-packages/llama_index/core/indices/base.py", line 145, in from_documents
    return cls(
 
  File "/home/xyz/.local/lib/python3.10/site-packages/llama_index/core/indices/vector_store/base.py", line 75, in __init__
    super().__init__(
 
  File "/home/xyz/.local/lib/python3.10/site-packages/llama_index/core/indices/base.py", line 94, in __init__
    index_struct = self.build_index_from_nodes(
 
  File "/home/xyz/.local/lib/python3.10/site-packages/llama_index/core/indices/vector_store/base.py", line 308, in build_index_from_nodes
    return self._build_index_from_nodes(nodes, **insert_kwargs)
 
  File "/home/xyz/.local/lib/python3.10/site-packages/llama_index/core/indices/vector_store/base.py", line 280, in _build_index_from_nodes
    self._add_nodes_to_index(
 
  File "/home/xyz/.local/lib/python3.10/site-packages/llama_index/core/indices/vector_store/base.py", line 233, in _add_nodes_to_index
    nodes_batch = self._get_node_with_embedding(nodes_batch, show_progress)
 
  File "/home/xyz/.local/lib/python3.10/site-packages/llama_index/core/indices/vector_store/base.py", line 141, in _get_node_with_embedding
    id_to_embed_map = embed_nodes(
 
  File "/home/xyz/.local/lib/python3.10/site-packages/llama_index/core/indices/utils.py", line 138, in embed_nodes
    new_embeddings = embed_model.get_text_embedding_batch(
 
  File "/home/xyz/.local/lib/python3.10/site-packages/llama_index/core/instrumentation/dispatcher.py", line 274, in wrapper
    result = func(*args, **kwargs)
 
  File "/home/xyz/.local/lib/python3.10/site-packages/llama_index/core/base/embeddings/base.py", line 341, in get_text_embedding_batch
    embeddings = self._get_text_embeddings(cur_batch)
 
  File "/home/xyz/.local/lib/python3.10/site-packages/llama_index/embeddings/llamafile/base.py", line 113, in _get_text_embeddings
    return [output["embedding"] for output in response.json()["results"]]

KeyError: 'results'

Generating embeddings: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▍| 210/211 [04:56<00:01,  1.41s/it]

Thanks!

[muz-sup]

Cross-posted question at llamaindex, and received a answer:

run-llama/llama_index#14024