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docs/docs/examples/examples/postgres_source.md

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## Why One Framework for Structured + Unstructured?
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- One mental model: Treat files, APIs, and databases uniformly; AI steps are ordinary ops.
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- Incremental by default: Use an ordinal column to sync only changes; no fragile glue jobs.
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- Consistency: Embeddings are always derived from the exact transformed row state.
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- Operational simplicity: One deployment, one lineage view, fewer moving parts.
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- Unified workflow: All data— files, APIs, or databases—is processed through a single, consistent system, and AI operations are handled alongside standard data transformations.
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- True incremental processing with live updates: Out-of-box incremental support from the framework, process only what’s changed, avoiding redundant computation and ensuring faster updates to downstream indexes.
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- Reliable consistency: Embeddings and derived data always reflect the accurate, transformed state of each row, ensuring results are dependable and current in a single flow.
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- Streamlined operations: A single deployment manages everything, providing clear data lineage and reducing the complexity of the data stack.

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