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Python: Bug: 06-memory-and-embeddings.ipynb The memory recall functionality in the chat implementation is not properly integrating with the stored financial information
#11523
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steveregis opened this issue
Apr 12, 2025
· 0 comments
The notebook implementation for memory and embeddings functionality is not working as expected. The memory recall functionality in the chat implementation is not properly integrating with the stored financial information
To Reproduce
Steps to reproduce the behavior:
Navigate to the python/samples/getting_started directory
Open 06-memory-and-embeddings.ipynb in Jupyter Notebook
Run the cells sequentially to set up the Semantic Kernel and memory
Attempt to use the chat functionality to query stored financial information
Observe that the memory recall is not working as expected
Expected behavior
The notebook should properly store and retrieve financial information from memory
The chat function should successfully search memory and incorporate relevant information into responses
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Bug: 06-memory-and-embeddings.ipynb The memory recall functionality in the chat implementation is not properly integrating with the stored financial information
Python: Bug: 06-memory-and-embeddings.ipynb The memory recall functionality in the chat implementation is not properly integrating with the stored financial information
Apr 12, 2025
The notebook implementation for memory and embeddings functionality is not working as expected. The memory recall functionality in the chat implementation is not properly integrating with the stored financial information
To Reproduce
Steps to reproduce the behavior:
Navigate to the python/samples/getting_started directory
Open 06-memory-and-embeddings.ipynb in Jupyter Notebook
Run the cells sequentially to set up the Semantic Kernel and memory
Attempt to use the chat functionality to query stored financial information
Observe that the memory recall is not working as expected
Expected behavior
The notebook should properly store and retrieve financial information from memory
The chat function should successfully search memory and incorporate relevant information into responses
Platform
Language: Python
Source: Semantic Kernel Python SDK (latest version)
AI model: OpenAI GPT-4
IDE: Jupyter Notebook
OS: macOS (darwin 24.4.0)
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