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README.rst
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README.rst
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3. **Finder**: Glues together a Reader and a Retriever as a pipeline to provide an easy-to-use question answering interface.
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3. **Finder**: Glues together a Reader and a Retriever as a pipeline to provide an easy-to-use question answering interface.
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4. **Labeling Tool**: (Coming soon)
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4. **Labeling Tool**: `Hosted version <https://annotate.deepset.ai/login>`_ (Beta), Docker images (coming soon)
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Resources
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Resources
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=========
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=========
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--------
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--------
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A simple REST API based on `FastAPI <https://fastapi.tiangolo.com/>`_ is included to answer questions at inference time. To serve the API, run :code:`uvicorn haystack.api.inference:app`.
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A simple REST API based on `FastAPI <https://fastapi.tiangolo.com/>`_ is included to answer questions at inference time. To serve the API, run :code:`uvicorn haystack.api.inference:app`.
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You will find the Swagger API documentation at http://127.0.0.1:8000/docs
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You will find the Swagger API documentation at http://127.0.0.1:8000/docs
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Labeling Tool
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=============
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- Use the `hosted version <https://annotate.deepset.ai/login>`_ (Beta) or deploy it yourself via Docker images (coming soon)
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- Create labels with different annotation techniques: Create questions (+ answers) while reading passages (~ SQuAD style) or have a set of predefined questions and look for answers in the document (~ Natural Questions style).
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- Structure your work via organizations, projects, users
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- Upload your documents or import labels from an existing SQuAD
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- Coming soon: more file formats for document upload, metrics for label quality ...
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.. image:: https://raw.githubusercontent.com/deepset-ai/haystack/master/docs/img/annotation_tool.png
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