Upload a RAG file

This sample demonstrates how to upload a RAG file, which contains additional information that provides context to the LLM to generate more accurate responses.

Explore further

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

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 .

  from 
  
 vertexai 
  
 import 
 rag 
 import 
  
  vertexai 
 
 # 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}" 
 # path = "path/to/local/file.txt" 
 # display_name = "file_display_name" 
 # description = "file description" 
 # Initialize Vertex AI API once per session 
  vertexai 
 
 . 
 init 
 ( 
 project 
 = 
 PROJECT_ID 
 , 
 location 
 = 
 "us-central1" 
 ) 
 rag_file 
 = 
 rag 
 . 
 upload_file 
 ( 
 corpus_name 
 = 
 corpus_name 
 , 
 path 
 = 
 path 
 , 
 display_name 
 = 
 display_name 
 , 
 description 
 = 
 description 
 , 
 ) 
 print 
 ( 
 rag_file 
 ) 
 # RagFile(name='projects/[PROJECT_ID]/locations/us-central1/ragCorpora/1234567890/ragFiles/09876543', 
 #  display_name='file_display_name', description='file description') 
 

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