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While co-pilots enable machine-to-human automation, with Unstract, you can go beyond co-pilots by enabling machine-to-machine automation. You can launch APIs that take in complex documents and return structured JSON all with a simple no-code approach. You can also launch unstructured data ETL Pipelines that can read complex documents from a variety of cloud file / object storage systems and write structured data into popular data warehouses and databases.
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🌟 **Step 2**: Configure Prompt Studio project as API deployment or configure input source and output destination for ETL Pipeline<br>
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🌟 **Step 3**: Deploy Workflows as unstructured data APIs or unstructured data ETL Pipelines!
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## 🚀 Getting started
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The easiest way to get started is with Docker. Clone this repo and do the following:
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The easiest way to get started is with Docker. Either download a release or clone this repo and do the following:
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✅ `./run-platform.sh`<br>
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✅ Now visit [http://frontend.unstract.localhost](http://frontend.unstract.localhost) in your browser <br>
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✅ Use user name and password `unstract` to login
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That's all there is to it!
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Another really quick way to experience Unstract is by signing up for our [hosted version](https://us-central-1.gcp.unstract.com/).
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## ⏩ Quick Start Guide
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Unstract comes well documented. You can get introduced to the [basics of Unstract](https://docs.unstract.com/), and [learn how to connect](https://docs.unstract.com/unstract_platform/setup_accounts/whats_needed) various systems like LLMs, Vector Databases, Embedding Models and Text Extractors to it. The easiest way to wet your feet is to go through our [Quick Start Guide](https://docs.unstract.com/unstract_platform/quick_start) where you actually get to do some prompt engineering in Prompt Studio and launch an API to structure varied credit card statements!
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## 🤝 Ecosystem support
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### LLM Providers
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|| Provider | Status |
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|---|---|---|
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|<imgsrc="docs/assets/3rd_party/openai.png"width="32"/>| OpenAI | ✅ Working |
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|<imgsrc="docs/assets/3rd_party/vertex_ai.png"width="32"/>| Google VertexAI, Gemini Pro | ✅ Working |
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|<imgsrc="docs/assets/3rd_party/azure_openai.png"width="32"/>| Azure OpenAI | ✅ Working |
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|<imgsrc="docs/assets/3rd_party/palm.png"width="32"/>| Google PaLM | ✅ Working |
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|<imgsrc="docs/assets/3rd_party/anyscale.png"width="32"/>| Anyscale | ✅ Working |
|<imgsrc="docs/assets/3rd_party/ms_sql.png"width="32"/>| Microsoft SQL Server | 🗓️ Coming soon! |
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## 🙌 Contributing
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Contributions are welcome! Please read [CONTRIBUTE.md](CONTRIBUTE.md) for further details on setting up the development environment, etc. It also points you to other detailed documents as needed.
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