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Python: Introducing vector search to the redis collections #9664
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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? 2. What problem does it solve? 3. What scenario does it contribute to? 4. If it fixes an open issue, please link to the issue here. --> Adds the vector search pieces to the two Redis collection types Features vectorized search and vector text search. Also features a slight change to the storage format for Hashsets since the existing was wrong because the index was not picking up those fields, fixed now, but if you have a Redis Hash Collection running, this will break things. Closes #6837 ### Description <!-- Describe your changes, the overall approach, the underlying design. These notes will help understanding how your code works. Thanks! --> ### Contribution Checklist <!-- Before submitting this PR, please make sure: --> - [x] The code builds clean without any errors or warnings - [x] The PR follows the [SK Contribution Guidelines](https://github.com/microsoft/semantic-kernel/blob/main/CONTRIBUTING.md) and the [pre-submission formatting script](https://github.com/microsoft/semantic-kernel/blob/main/CONTRIBUTING.md#development-scripts) raises no violations - [x] All unit tests pass, and I have added new tests where possible - [ ] I didn't break anyone 😄
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memory
PR: breaking change
Pull requests that introduce breaking changes
python
Pull requests for the Python Semantic Kernel
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Motivation and Context
Adds the vector search pieces to the two Redis collection types
Features vectorized search and vector text search.
Also features a slight change to the storage format for Hashsets since the existing was wrong because the index was not picking up those fields, fixed now, but if you have a Redis Hash Collection running, this will break things.
Closes #6837
Description
Contribution Checklist