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I made one change: instead of local

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The community member, Logan M, encountered an error when trying to use the NebulaGraphStore with the space name "llamaindex". The error message indicates that the space was not found. Other community members responded, expressing their lack of familiarity with Nebula or their frustration with using it. One community member suggested using Neo4j instead, and another provided a link to a Medium article about constructing a knowledge graph RAG pipeline with LlamaIndex, which the original poster said they would try to access.

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I made one change: instead of local iused "graphd"...
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nebula-console -addr graphd -port 9669 -user root -p nebula  
and now when i run
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graph_store = NebulaGraphStore(
    space_name=space_name,
    edge_types=edge_types,
    rel_prop_names=rel_prop_names,
    tags=tags,
)
storage_context = StorageContext.from_defaults(graph_store=graph_store)
i get error:
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RuntimeError: Failed to get session, cannot set the session space to llamaindex error: -1005 SpaceNotFound: SpaceName `llamaindex
` @Logan M
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9 comments
I really no zero about nebula -- I don't think I'll be much help here
Greetings, @Logan M , can you connect with someone who can assist?
πŸ€·β€β™‚οΈ Not sure man haha -- I've only tried to use nebula once and it was extremely annoying
yes, i am experiencing the same 😦
Thanks for your response. any documentation on how to use it. I want to integrate with RAG pipeline using Llamaindex
@andysingal any update on this?
Please check : Constructing an Efficient Knowledge Graph RAG Pipeline with LlamaIndex Constructing an Efficient Knowledge Graph RAG Pipeline with LlamaIndex https://medium.com/ai-advances/constructing-an-efficient-knowledge-graph-rag-pipeline-with-llamaindex-81a0a0b105b7
Thank you I will try to see it. (I am not a member but I will get access somehow hopefully)
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