1) Updated SimpleNodeParser to

At a glance

The post discusses issues with updating a parser and missing readers in the codebase. Community members provide the following information:

- The SimpleNodeParser has been updated to SentenceSplitter, which is an acceptable change.

- The SimpleCSVReader is no longer part of the codebase, and the community member should try using from llama_index.readers.file import CSVReader instead.

- The community member should install the necessary libraries separately to avoid errors when running the code without them.

The comments also discuss the use of the download_loader() function and provide guidance on how to properly import and install the required integrations and packages.

Additionally, a community member asks about the fastest index generation method, but the assistant does not have a definitive answer and suggests referring to the LlamaIndex documentation for more information on optimizing index generation.

Useful resources

AAnurag Agrawal

1) Updated SimpleNodeParser to SentenceSplitter. Is that okay?
2) Reader/Tool not found: SimpleCSVReader - what do I need to do to fix this?
3) Ran without installing these libraries and got errors so I guess I need to install them separately?

8 comments

LLogan M

yea, SimpleNodeParser was technically removed, but aliased to SentenceSplitter

SimpleCSVReader does not exist in the codebase (you must be coming from an ancient version? lol). Try from llama_index.readers.file import CSVReader maybe?

Yes, the cli-upgrade tool will print the libraries you should install

AAnurag Agrawal

Thanks Logan! I was using download_loader() with SimpleCSVReader and ImageReader. Does that mean I can't use download_loader() anymore and I need to replace them with 0.10 imports (and maybe need to install integrations)?

LLogan M

download loader should still work (Although I think SimpleCSVReader is no longer a thing?)

The preffered thing to do is install and import them. A bit safer than installing things on the fly anyways 😉

https://llamahub.ai has all the intergrations/packages/imports

LLogan M

in this case
pip install llama-index-readers-file (included in pip install llama-index though)

from llama_index.readers.file import ImageReader, CSVReader

AAnurag Agrawal

Sounds good! Thanks a lot, @Logan M boss! 😄

ddkatz123

@kapa.ai What's the fastest index to generate, for a given set of documents and chunk size?

kkapa.ai

Let me check the knowledge base for you. One moment! :books:

kkapa.ai

----------------------
Hmm, I don't know enough to give you a confident answer yet. The speed of generating an index can depend on various factors such as the size and complexity of the documents, the chunk size, the specific hardware and software environment, and the specific implementation of the indexing algorithm.

However, the LlamaIndex documentation provides some guidance on how to create and optimize indexes. For example, you can customize the chunk size and chunk overlap when creating an index, which can potentially affect the speed of index generation. Here is an example of how to create a VectorStoreIndex with a custom chunk size:

Plain Text

from llama_index.core import SimpleDirectoryReader, VectorStoreIndex
from llama_index.core import Settings

documents = SimpleDirectoryReader("./data").load_data()

Settings.chunk_size = 512
Settings.chunk_overlap = 50

index = VectorStoreIndex.from_documents(
    documents,
)

query_engine = index.as_query_engine(similarity_top_k=4)

(Source: LlamaIndex Documentation ())

For more detailed information on optimizing LlamaIndex, you may want to refer to the LlamaIndex documentation ().
----------------------
Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:
----------------------

Add a reply

Find answers from the community

1) Updated SimpleNodeParser to