[Solved] ModuleNotFoundError: No module named 'llama_index.graph_stores'

Llama is one of the most commonly used language generation models introduced by Meta AI. To work with this language model we need to import this model externally. It is quite common that we encounter module-related errors especially when working with external libraries in Python projects. One of these errors is "ModuleNotFoundError: No module named 'llama_index.graph_stores'". This error indicates that this 'llama_index.graph_stores' is missing from our environment. This error can arise due to different reasons such as missing dependencies, incorrect installations, etc.  

Solution:

According to the latest doc of llama-index, all graph-store modules are not included in llama-index core packages and need to be installed by pip:

%pip install llama-index-llms-openai
%pip install llama-index-embeddings-openai
%pip install llama-index-graph-stores-nebula
%pip install llama-index-llms-azure-openai

You can check this documentation.

https://docs.llamaindex.ai/en/stable/examples/index_structs/knowledge_graph/NebulaGraphKGIndexDemo.html

This common error  "ModuleNotFoundError: No module named 'llama_index.graph_stores'" can be resolved by ensuring that we correctly install and import the module. Following the above steps, we can easily identify the error and fix the error easily. Proper dependency management and environment setup are essential for the successful development operations of a project.

Thank you for reading the article.