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README.md

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As a data framework, CocoIndex takes it to the next level on data freshness. Incremental processing is one of the core values provided by CocoIndex.
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<p align="center">
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<img src="https://github.com/user-attachments/assets/4ead7275-8df6-42aa-ba06-81248aa7f8bf" alt="Incremental Processing" width="800">
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<img src="https://github.com/user-attachments/assets/4ead7275-8df6-42aa-ba06-81248aa7f8bf" alt="Incremental Processing" width="700">
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</p>
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The frameworks takes care of
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- 🎬 [Quick Start Video Tutorial](https://youtu.be/gv5R8nOXsWU?si=9ioeKYkMEnYevTXT)
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### Setup
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1. Install CocoIndex Python library
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```bash
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2. [Install Postgres](https://cocoindex.io/docs/getting_started/installation#-install-postgres) if you don't have one. CocoIndex uses it for incremental processing.
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### Start your first indexing flow!
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### Define data flow
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Follow [Quick Start Guide](https://cocoindex.io/docs/getting_started/quickstart) to define your first indexing flow.
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A common indexing flow looks like:
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```
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It defines an index flow like this:
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![Flow diagram](docs/docs/core/flow_example.svg)
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### Play with existing example and demo
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Go to the [examples directory](examples) to try out with any of the examples, following instructions under specific example directory.
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<img width="363" alt="Data Flow" src="https://github.com/user-attachments/assets/2ea7be6d-3d94-42b1-b2bd-22515577e463" />
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## Examples and demo
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| Example | Description |
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|---------|-------------|

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