Cherry-pick docstores deserialization refactoring to 2.4.x

deepset-ai / haystack

:mag: AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.

https://haystack.deepset.ai

Apache License 2.0

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Cherry-pick docstores deserialization refactoring to 2.4.x #8227

Closed anakin87 closed 1 month ago

anakin87 commented 1 month ago

Proposed Changes:

Cherry-pick the commits of #8207 and #8226

How did you test it?

Checklist

I have read the contributors guidelines and the code of conduct
I have updated the related issue with new insights and changes
I added unit tests and updated the docstrings
I've used one of the conventional commit types for my PR title: fix:, feat:, build:, chore:, ci:, docs:, style:, refactor:, perf:, test:.
I documented my code
I ran pre-commit hooks and fixed any issue

coveralls commented 1 month ago

Pull Request Test Coverage Report for Build 10387779350

Details

0 of 0 changed or added relevant lines in 0 files are covered.
7 unchanged lines in 1 file lost coverage.
Overall coverage increased (+0.01%) to 90.134%

Files with Coverage Reduction	New Missed Lines	%
components/retrievers/sentence_window_retriever.py	7	79.55%
<!--	Total:	7		-->

Totals
Change from base Build 10385117407:	0.01%
Covered Lines:	6943
Relevant Lines:	7703