Is it possible to change the graph_storage from an existing working_dir?

[hungphongtrn]

I have already initialized a storage with "Neo4JStorage" using the following snippet:

rag = LightRAG(
    working_dir=LIGHTRAG_NEO4J_WORKING_DIR,
    embedding_func=openai_embed,
    llm_model_func=gpt_4o_mini_complete,
    graph_storage="Neo4JStorage",
    enable_llm_cache=False,
    enable_llm_cache_for_entity_extract=False,
)

Is it possible for me to use the existing data in LIGHTRAG_NEO4J_WORKING_DIR, and initialize a storage with other graph_storage options such as NetworkXStorage or MemgraphStorage? Thank you in advance.

[onestardao]

It looks like your question is actually related to Problem #7 (storage mismatch between backends) — each graph_storage backend writes its own format, so you can’t just swap Neo4JStorage to NetworkXStorage or MemgraphStorage using the same working_dir.

If you want, I can share a short guide (with link) that shows how to handle this case and what options you have to migrate cleanly. Just let me know.