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Eduard van Valkenburg 003cc4c010 Python: Feature python vector stores preb (#12271 )

### Motivation and Context

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  1. Why is this change required?
  2. What problem does it solve?
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Overhaul of the VectorStores to get it matching with dotnet and the
latest development there.

Closes: 
- #11938 
- #11598 
- #11597
- #11517 
- #10561 
- #10391 
- #9911 
- #9892 
- #10867 

### Description

<!-- Describe your changes, the overall approach, the underlying design.
These notes will help understanding how your code works. Thanks! -->

Many changes, some highlights:
- Moved from different vector fields types, to a single with a enum
first VectorStoreField()
- Renamed several items
- Made embeddinggenerrator a part of the vector field spec and do
automatic vectorization from there or from the same param on a
collection
- Adds hybrid search using the same setup
- Removed the intermediate TextSeachVectorSearch object need, by
allowing `create_search_function` directly on a collection

Will write out full changes in a migration guide in the docs.

### 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 😄

2025-06-19 18:34:59 +00:00

concepts

Python: Feature python vector stores preb (#12271 )

2025-06-19 18:34:59 +00:00

demos

Python: Add special notes to samples that are still using AgentGroupchat (#12377 )

2025-06-04 22:15:44 +00:00

getting_started

Python: Feature python vector stores preb (#12271 )

2025-06-19 18:34:59 +00:00

getting_started_with_agents

Python: Add check for not approved and approved for Agent Sample (#12316 )

2025-06-19 05:34:53 +00:00

getting_started_with_processes

Python: Support callers passing in max supersteps for processes (#11798 )

2025-04-30 09:25:47 +00:00

learn_resources

Python: Remove planner-related code and samples. (#12417 )

2025-06-09 21:35:23 +00:00

__init__.py

Python: Adjust the learn file imports based on a previous refactor. (#6545 )

2024-06-04 19:40:12 +00:00

README.md

Python: Agent get_response API (#10701 )

2025-02-27 20:22:05 +09:00

SAMPLE_GUIDELINES.md

Python: improved chat history samples (#10737 )

2025-03-04 06:58:32 +00:00

service_settings.py

Python: allow settings to be created directly (#11468 )

2025-04-11 06:26:22 +00:00

sk_service_configurator.py

Python: allow settings to be created directly (#11468 )

2025-04-11 06:26:22 +00:00

README.md

Semantic Kernel Samples

Type	Description
`getting_started`	Take this step by step tutorial to get started with Semantic Kernel and get introduced to the key concepts.
`getting_started_with_agents`	Take this step by step tutorial to get started with Semantic Kernel Agents and get introduced to the key concepts.
`getting_started_with_processes`	Take this step by step tutorial to get started with Semantic Kernel Processes and get introduced to the key concepts.
`concepts`	This section contains focused samples which illustrate all of the concepts included in Semantic Kernel.
`demos`	Look here to find a sample which demonstrate how to use many of Semantic Kernel features.
`learn_resources`	Code snippets that are related to online documentation sources like Microsoft Learn, DevBlogs and others