Add Azure AI Search as vector store option

[lambasu]

This PR adds Azure AI Search as a vector store option for the memory module. Changes include:\n\n- Added AzureSearchMemory class implementation\n- Updated dependencies to include azure-search-documents\n- Added Azure AI Search configuration to settings\n- Updated documentation with Azure AI Search setup instructions\n- Added Azure AI Search to the memory factory\n\nThis enhancement provides users with another robust vector store option for their memory needs.

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[Copilot]

Pull Request Overview

This PR introduces Azure AI Search as an additional vector store option to the memory module for improved enterprise-scale memory retrieval. Key changes include:

• Implementation of the AzureSearchMessageBufferStorage class.
• Updates to configuration and dependency files to support Azure AI Search.
• Adjustments in core modules and documentation to incorporate this storage option.

Reviewed Changes

Copilot reviewed 8 out of 8 changed files in this pull request and generated 2 comments.

Show a summary per file

File	Description
packages/teams_memory/teams_memory/storage/azure_search_message_buffer_storage.py	Implements Azure AI Search storage for message buffering.
packages/teams_memory/teams_memory/core/message_buffer.py	Adds Azure AI Search storage option for message buffering.
packages/teams_memory/teams_memory/core/memory_core.py	Adds Azure AI Search storage option for memory storage.
packages/teams_memory/teams_memory/config.py	Updates storage config to support Azure AI Search.
packages/teams_memory/pyproject.toml	Adds new dependencies for Azure AI Search.
packages/teams_memory/README.md	Updates documentation to include Azure AI Search setup instructions.
packages/teams_memory/CHANGELOG.md	Documents the addition of the Azure AI Search storage option.

Comments suppressed due to low confidence (1)

packages/teams_memory/teams_memory/core/message_buffer.py:61

• [nitpick] The default index naming between AzureSearchMessageBufferStorage ('teams-memories-buffer') and AzureSearchMemoryStorage (using its own default 'teams-memories') appears inconsistent. Consider aligning these defaults or clearly documenting the differences to avoid confusion.

index_name=f"{config.storage.search_index_name or 'teams-memories'}-buffer",

[Copilot]

The use of get_index to check an index's existence may raise an exception if the index does not exist instead of returning a falsy value. Consider wrapping this call in a try/except block to catch a potential ResourceNotFound error before proceeding with index creation.

[Copilot]

This synchronous call is made inside an async function and may block the event loop. Consider using an asynchronous version of the client method or offloading the operation to a thread pool for better performance in async contexts.

[heyitsaamir]

Closing in favor of #157