Python: Fix for SemanticTextMemory Embedding issue #1816
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shawncal
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@cschadewitz Good find -- thanks for the fix. Welcome to Semantic Kernel! |
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### Motivation and Context <!-- Thank you for your contribution to the semantic-kernel repo! Please help reviewers and future users, providing the following information: 1. Why is this change required? To fix the SemanticTextMemory functionality 2. What problem does it solve? microsoft#1815 3. What scenario does it contribute to? All scenarios that intend on using RAG 4. If it fixes an open issue, please link to the issue here. microsoft#1815 --> 1. Why is this change required? To fix the SemanticTextMemory functionality 2. What problem does it solve? microsoft#1815 3. What scenario does it contribute to? All scenarios that intend on using RAG 4. If it fixes an open issue, please link to the issue here. microsoft#1815 ### Description <!-- Describe your changes, the overall approach, the underlying design. These notes will help understanding how your code works. Thanks! --> Simple decomposition of the list of embeddings returned via `generate_embeddings_async` ### Contribution Checklist <!-- Before submitting this PR, please make sure: --> - [x] The code builds clean without any errors or warnings - [x] The PR follows SK Contribution Guidelines (https://github.com/microsoft/semantic-kernel/blob/main/CONTRIBUTING.md) - [ ] The code follows the .NET coding conventions (https://learn.microsoft.com/dotnet/csharp/fundamentals/coding-style/coding-conventions) verified with `dotnet format` - [x] All unit tests pass, and I have added new tests where possible - [x] I didn't break anyone 馃槃
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Motivation and Context
Description
Simple decomposition of the list of embeddings returned via
generate_embeddings_asyncContribution Checklist
dotnet format