How do i use GCP Storage bucket as filesystem for Stora...

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@kapa.ai How do i use GCP Storage bucket as filesystem for StorageContext

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Please stand by @Raz as I search the knowledge base. I normally take about 20 seconds or so. :wave:

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I'm sorry, but the provided extracts do not contain information on how to use a GCP Storage bucket as a filesystem for StorageContext in LlamaIndex. The extracts do provide an example of using an S3 bucket for this purpose, but the process may be different for GCP Storage.

Here's the example for S3:

Plain Text

import dotenv
import s3fs
import os
dotenv.load_dotenv("../../../.env")

# load documents
documents = SimpleDirectoryReader('../../../examples/paul_graham_essay/data/').load_data()
print(len(documents))
index = VectorStoreIndex.from_documents(documents)

# set up s3fs
AWS_KEY = os.environ['AWS_ACCESS_KEY_ID']
AWS_SECRET = os.environ['AWS_SECRET_ACCESS_KEY']
R2_ACCOUNT_ID = os.environ['R2_ACCOUNT_ID']

assert AWS_KEY is not None and AWS_KEY != ""

s3 = s3fs.S3FileSystem(
   key=AWS_KEY,
   secret=AWS_SECRET,
   endpoint_url=f'<https://{R2_ACCOUNT_ID}.r2.cloudflarestorage.com',>
   s3_additional_kwargs={'ACL': 'public-read'}
)

# save index to remote blob storage
index.set_index_id("vector_index")
# this is {bucket_name}/{index_name}
index.storage_context.persist('llama-index/storage_demo', fs=s3)

# load index from s3
sc = StorageContext.from_defaults(persist_dir='llama-index/storage_demo', fs=s3)
index2 = load_index_from_storage(sc, 'vector_index')

(Source: Persisting & Loading Data ())

For GCP Storage, you would likely need to use a different library that provides a filesystem interface for GCP Storage, similar to how s3fs is used for S3 in the example above. However, without specific information in the provided extracts, I can't provide a detailed guide on how to do this.

kkapa.ai

I recommend checking the LlamaIndex documentation or the GCP Storage documentation for more information.
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Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:
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RRaz

@kapa.ai any sample of using gcsfs?

kkapa.ai

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

kkapa.ai

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I'm sorry, but the provided extracts do not contain any examples or information on using gcsfs with LlamaIndex. The extracts only provide examples using s3fs for Amazon S3.

For accurate information on using gcsfs with LlamaIndex, I recommend checking the LlamaIndex documentation or the gcsfs documentation.
----------------------
Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:
----------------------

RRaz

@kapa.ai can i use the s3 with SimpleDirectoryReader?

kkapa.ai

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

kkapa.ai

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Yes, you can use S3 with SimpleDirectoryReader in LlamaIndex. However, the provided extracts do not contain a direct example of this.

The extracts do show how to set up an S3 filesystem using s3fs and how to use it with StorageContext to save and load an index. Here's the relevant code:

Plain Text

import dotenv
import s3fs
import os
dotenv.load_dotenv("../../../.env")

# load documents
documents = SimpleDirectoryReader('../../../examples/paul_graham_essay/data/').load_data()
print(len(documents))
index = VectorStoreIndex.from_documents(documents)

# set up s3fs
AWS_KEY = os.environ['AWS_ACCESS_KEY_ID']
AWS_SECRET = os.environ['AWS_SECRET_ACCESS_KEY']
R2_ACCOUNT_ID = os.environ['R2_ACCOUNT_ID']

assert AWS_KEY is not None and AWS_KEY != ""

s3 = s3fs.S3FileSystem(
   key=AWS_KEY,
   secret=AWS_SECRET,
   endpoint_url=f'<https://{R2_ACCOUNT_ID}.r2.cloudflarestorage.com',>
   s3_additional_kwargs={'ACL': 'public-read'}
)

# save index to remote blob storage
index.set_index_id("vector_index")
# this is {bucket_name}/{index_name}
index.storage_context.persist('llama-index/storage_demo', fs=s3)

# load index from s3
sc = StorageContext.from_defaults(persist_dir='llama-index/storage_demo', fs=s3)
index2 = load_index_from_storage(sc, 'vector_index')

(Source: Persisting & Loading Data ())

In this example, SimpleDirectoryReader is used to load documents from a local directory. If you want to load documents from an S3 bucket, you would need to modify the path passed to SimpleDirectoryReader to point to your S3 bucket, and ensure that SimpleDirectoryReader is able to read from S3. The exact details of how to do this are not provided in the extracts.

kkapa.ai

For more information, I recommend checking the LlamaIndex documentation or the s3fs documentation.
----------------------
Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:
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How do i use GCP Storage bucket as filesystem for StorageContext