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va...@google.com
ar...@google.com
Apologies, this was wrongly logged as a bug where as it must have been logged in as a Feature Request.
ar...@google.com
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Description
Please provide as much information as possible. At least, this should include a description of your issue and steps to reproduce the problem. If possible please provide a summary of what steps or workarounds you have already tried, and any docs or articles you found (un)helpful.
Problem you have encountered:
status = StatusCode.INVALID_ARGUMENT
details = "`extractive_content_spec` must be not defined when the datastore is using 'chunking config'"
debug_error_string = "UNKNOWN:Error received from peer ipv4:
What you expected to happen:
Datastore chucking is required / recommended
Steps to reproduce:
from vertexai.generative_models import FunctionDeclaration, GenerativeModel, Part, Tool, Content, grounding
from vertexai.preview import generative_models as preview_generative_models
vertexai.init(project=PROJECT_ID, location='us-central1')
vertex_search_tool = Tool.from_retrieval(
retrieval=preview_generative_models.grounding.Retrieval(
source=preview_generative_models.grounding.VertexAISearch(
datastore=f"projects/{PROJECT_ID}/locations/global/collections/default_collection/dataStores/{DATASTORE_ID}"
),
)
)
model = GenerativeModel(
"gemini-1.0-pro",
generation_config={"temperature": 0}
)
chat = model.start_chat()
response = chat.send_message(PROMPT, tools=[vertex_search_tool])
Other information (workarounds you have tried, documentation consulted, etc):