Azure Machine Learning
An Azure machine learning service for building and deploying models.
"Q&A on Your Data" Prompt Flow example - why python node cannot grab output from vector index lookup?
![](data:image/svg+xml, %3Csvg xmlns='http://www.w3.org/2000/svg' height='64' class='font-weight-bold' style='font: 600 30.11764705882353px "SegoeUI", Arial' width='64'%3E%3Ccircle fill='hsl(256, 33%, 34%)' cx='32' cy='32' r='32' /%3E%3Ctext x='50%25' y='55%25' dominant-baseline='middle' text-anchor='middle' fill='%23FFF' %3ET%3C/text%3E%3C/svg%3E)
Tano
0
Reputation points
Hi.
I tried many times to replicate the prompt flow examples "Q&A on Your Data", both simple Q&A and Multi-Round versions, and I end up with the same issue. The python node generate_prompt_context is not capable or reading the input from the previous node, the vector index lookup search_question_from_indexed_docs that contains the extracted chunks from the text that I provided. I can see clearly that search_question_from_indexed_docs contains all the output I am expecting (python object that includes metadata and the 4 text chunks) and the input is stated correctly in my opinion, but after running the python node the input appear empty and consequently also the output has the same issue:
All the following nodes can successfully run, but because the context is not carried on, the final result the flow is simply confirming that there is not available context to be used to answer to the question.
What is wrong in my flow?
Azure Machine Learning
Azure OpenAI Service
Azure OpenAI Service
An Azure service that provides access to OpenAI’s GPT-3 models with enterprise capabilities.
Azure AI services
Azure AI services
A group of Azure services, SDKs, and APIs designed to make apps more intelligent, engaging, and discoverable.
{count} votes
-
![](data:image/svg+xml, %3Csvg xmlns='http://www.w3.org/2000/svg' height='64' class='font-weight-bold' style='font: 600 30.11764705882353px "SegoeUI", Arial' width='64'%3E%3Ccircle fill='hsl(278.4, 1%, 36%)' cx='32' cy='32' r='32' /%3E%3Ctext x='50%25' y='55%25' dominant-baseline='middle' text-anchor='middle' fill='%23FFF' %3EYM%3C/text%3E%3C/svg%3E)
YutongTie-MSFT 54,011 Reputation points Moderator2024-02-02T00:16:47.8+00:00 @Tano Thanks for reaching out to us, could you please share the document you are referring to so that we can reproduce this process?
-
Tano 0 Reputation points
2024-02-02T05:14:28.3933333+00:00 Thank you @YutongTie-MSFT for getting back to me so quickly. The document I have been using can be downloaded here https://aiverifyfoundation.sg/downloads/Cataloguing_LLM_Evaluations.pdf I put it in a local folder and uploaded during the creation of the vector database wizard. As vector database I have been using the Faiss option. As embedding model Ada002
-
YutongTie-MSFT 54,011 Reputation points Moderator
2024-02-22T05:22:02.1033333+00:00 @Tano Thanks for reaching out to us and sorry for the late response, are you still blocked by this issue? we were trying to reproduce the issue but it seems we can not, can you please raise a support ticket for this case if you are still blocked by it? Please let us know if you have no support plan, we are happy to enable you a free support ticket on this case. Regards, Yutong
Sign in to comment
Sign in to answer