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Updated 3 months ago

Heyo, I have a question, it is possible

Heyo, I have a question, it is possible to create a chromadb vectorstore when using llama parse ?
I'm using llama parse to read pdfs, from I've seen from the notebooks in documentation, they usually create "nodes" from the parsed documents by llama parse.
what i used before is using the simple directory reader and and i use VectorStoreIndex from documents having created the vectorstore with a chroma collection, just basic stuff
W
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6 comments
Yes, llamaparse is to extract content from your documents
You can use any vector store to save the embeddings
so there's no need to creates the nodes ?
It depends on your case, If you want to use any node parser of your choice like MArkdownNodeParser then you can else simply pass the documents to your index creation step.


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# Llamaparse purpose is to generate documents only.
documents = get from LlamaParse 

nodes = If you want to use any node parser.

index = VectorStoreIndex.from_documents(documents) # Incase you dont want to use any node parser. 

index = VectorStoreIndex(nodes) # if you generate ndoes.
i'm sorry but nodes are a new concept for me, do you have any resources I can use, just to understand their usage etc
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