List RAG files in an index

This sample demonstrates how to list RAG files in an index.

Explore further

For detailed documentation that includes this code sample, see the following:

• RAG Engine API
• Use a Weaviate database with RAG Engine

Code sample

Python

Before trying this sample, follow the Python setup instructions in the Vertex AI quickstart using client libraries. For more information, see the Vertex AI Python API reference documentation.

To authenticate to Vertex AI, set up Application Default Credentials. For more information, see Set up authentication for a local development environment.

import agentplatform

# TODO(developer): Update and un-comment below lines
# PROJECT_ID = "your-project-id"
# corpus_name = "projects/{PROJECT_ID}/locations/us-central1/ragCorpora/{rag_corpus_id}"

# Initialize Agent Platform client once per session
client = agentplatform.Client(project=PROJECT_ID, location="us-central1")

files_response = client.rag.list_files(name=corpus_name)
for file in files_response.rag_files:
    print(file.display_name)
    print(file.name)
# Example response:
# g-drive_file.txt
# projects/1234567890/locations/us-central1/ragCorpora/111111111111/ragFiles/222222222222
# g_cloud_file.txt
# projects/1234567890/locations/us-central1/ragCorpora/111111111111/ragFiles/333333333333

What's next

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