[Soukyu (ducanhnguyen223)]

Summary

• Replace the deprecated SemanticTextMemory, VolatileMemoryStore, and TextMemoryPlugin path with InMemoryCollection and the vector-store record model.
• Preserve the local OpenAI-compatible embedding setup and explicitly close the async client.
• Add an offline regression test that exercises upsert and vector search with deterministic mocked embeddings.
• The issue mentions as_text_search; at rebased upstream main (7e68276), the Python source has no definition for that method, so this sample uses collection.search.

Closes #14584.

Validation

• Rebased onto upstream main at 7e68276a4a85022dd4da255beae3263ab5cbf059; new PR head: f98603bdee013d4f6c63d5d91ceb1c284a3f4255.
• Python 3.12 focused tests: tests/unit/samples/test_lm_studio_text_embedding.py and tests/unit/connectors/memory/test_in_memory.py — 44 passed.
• Ruff lint and format checks on both changed files — passed; git diff --check — passed.
• The interactive sample was not run against LM Studio; it requires a local server and the Nomic embedding model.

Prepared with AI assistance and validated locally.

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