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Microsoft details vector-store support in Python Agent Framework

Microsoft described vector-store support in Agent Framework for Python on October 15. Building on work transferred from Semantic Kernel, the system combines typed records, batch storage and retrieval, embedding generation, search filters and context providers exposing search tools to agents.

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Microsoft described vector-store support in Agent Framework for Python on October 15. Building on work transferred from Semantic Kernel, the system combines typed records, batch storage and retrieval, embedding generation, search filters and context providers exposing search tools to agents.

The history provider can retain the full conversation in a searchable store while loading a bounded working context into the model. Microsoft says vector-store APIs remain experimental and integration packages are alpha or beta; supported indexes, filters and search modes vary by database.

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Microsoft details vector-store support in Python Agent Framework

Microsoft details vector-store support in Python Agent Framework

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    Microsoft described vector-store support in Agent Framework for Python on October 15. Building on work transferred from Semantic Kernel, the system combines typed records, batch storage and retrieval, embedding generation, search filters and context providers exposing search tools to agents.

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