Release Notes

v2.0.0-beta.3

If you are using AzureOCRDocumentConverter or TikaDocumentConverter, you need to change paths to sources in the run method.

An example: `python from haystack.components.converters import TikaDocumentConverter converter = TikaDocumentConverter() converter.run(paths=["paths/to/file1.pdf", "path/to/file2.pdf"])`

The last line should be changed to: `python converter.run(sources=["paths/to/file1.pdf", "path/to/file2.pdf"])`

Adds markdown mimetype support to the file type router i.e. FileTypeRouter class.
Refactor Answer dataclass and classes that inherited it. Now Answer is a Protocol, classes that used to inherit it now respect that interface. We also added a new ExtractiveTableAnswer to be used for table question answering.

All classes now are easily serializable using to_dict() and from_dict() like Document and components.
Make all Converters accept meta in the run method, so that users can provide their own metadata. The length of this list should match the number of sources.
Make all the Converters accept the sources parameter in the run method. sources is a list that can contain str, Path or ByteStream objects.
Renamed the confidence_threshold parameter of the ExtractiveReader to score_threshold as ExtractedAnswers have a score and this is what the threshold is for. For consistency, the term confidence is not mentioned anymore in favor of score.
Include 'boilerpy3' in the 'haystack-ai' dependencies.

Make connect idempotent, allowing connecting the same components more than once. Specially useful in Jupiter notebooks. Fixes #6359.
Fix "TypeError: descriptor '__dict__' for 'XXX' objects doesn't apply to a 'XXX' object" when running pipelines with debug=True by removing the graph image from the debug payload.

Make TransformersSimilarityRanker run with a list containing a single document as input.