i'm trying to integrate with AstraDB. i

xxehnida

i'm trying to integrate with AstraDB. i have executed generate.py and can observe the embeddings in the AstraDB.

when i try to load the storagecontext as index, it throws an error. going thru the LlamaIndex AstraDB documentation didnt mention anything about index.

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    astra_db_store = AstraDBVectorStore(....)
    storage_context = StorageContext.from_defaults(vector_store=astra_db_store)
    index = load_index_from_storage(storage_context)
    index.as_chat_engine(chat_mode=ChatMode.CONDENSE_PLUS_CONTEXT)
    .....

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File "...lib/python3.11/site-packages/llama_index/core/indices/loading.py", line 36, in load_index_from_storage
    raise ValueError(
ValueError: No index in storage context, check if you specified the right persist_dir.

am i missing something?

8 comments

WWhiteFang_Jr

Hi, did you follow this to setup your AstraDB:
https://docs.llamaindex.ai/en/stable/examples/vector_stores/AstraDBIndexDemo/?h=astradb
?

xxehnida

yes,

xxehnida

in the tutorial they use the index returned from the VectorStoreIndex.from_documents(). for my case i used load_index_from_storage as i had prepared the embeddings in the earlier step

WWhiteFang_Jr

try doing it this way once:

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index = VectorStoreIndex.from_documents([], storage_context=storage_context)

xxehnida

yes, now it works. i have changed my code as below

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    astra_db_store = AstraDBVectorStore(....)
    storage_context = StorageContext.from_defaults(vector_store=astra_db_store)
    index = VectorStoreIndex.from_documents([], storage_context=storage_context)
    index.as_chat_engine(chat_mode=ChatMode.CONDENSE_PLUS_CONTEXT)

WWhiteFang_Jr

Much better way: https://discord.com/channels/1059199217496772688/1222100231278035016/1222226108452442195

xxehnida

updated my code to VectorStoreIndex.from_vector_store(), and still works

xxehnida

now it makes the APIs a little inconsistent, generally we were taught to use load_index_from_storage

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i'm trying to integrate with AstraDB. i