move llama_index demo indexes into GCS bucket with read and listing permissions

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Sure, you can move the llama_index demo indexes into a GCS bucket with read and listing permissions. Here's a Python code snippet that demonstrates how to do this:

# Instantiate GCSFileSystem with your project
file_system = GCSFileSystem(project="your_project_id")

# Define the path to your GCS bucket
bucket_path = "gs://your_bucket_name"

# Define the path to the index files
index_path = "arize-assets/phoenix/datasets/unstructured/llm/llama-index/arize-docs/index/"

# Instantiate your storage context with the GCS bucket
storage_context = StorageContext.from_defaults(
    fs=file_system,
    persist_dir=bucket_path,
    graph_store=SimpleGraphStore(),  # prevents unauthorized request to GCS
)

# Load the index from the storage
index = load_index_from_storage(
    storage_context,
    service_context=service_context,
)

Please replace "your_project_id" and "gs://your_bucket_name" with your actual GCP project ID and the path to your GCS bucket, respectively. This code will load the index files from the specified GCS bucket. Please ensure that the bucket has the necessary read and listing permissions. You can find more details in this tutorial.

As for the structure of the llama_index demo indexes, they are built from chunks of the Arize documentation. Each chunk of documentation is treated as a separate document in the index. Each document in the index has a document_id, text, and text_vector attributes. The indexes are stored in a StorageContext object, which contains a docstore and a vector_store. The docstore stores the text of each document and the vector_store stores the corresponding embedding vector. You can find more details in this tutorial.

Regarding any specific requirements or limitations when moving the llama_index demo indexes to a GCS bucket, I couldn't find any specific information in the repository. However, it's important to ensure that the GCS bucket has the necessary read and listing permissions. If you encounter any issues or have further questions, please provide more details so I can assist you better.

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Arize-ai / phoenix

move llama_index demo indexes into GCS bucket with read and listing permissions #2099

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