* include meta data when calculating embeddings in EmbeddingRetriever
* Update Documentation & Code Style
* fix None meta field
* remove default values
* Update Documentation & Code Style
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* add documentation regarding the score of JoinDocuments when using concatenation
* Update Documentation & Code Style
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* Update version to 1.4.1rc0
* Elasticsearch is not an optional dependency
* Fix import path
* Update Documentation & Code Style
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* fix small typo in Document doc string
Was going through the tutorial, then digging through the code and just noticed a small typo
* generate markdown file changes from docstrings
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* Remove BasePipeline and make a module for RayPipeline
* Can load pipelines from yaml, plenty of issues left
* Extract graph validation logic into _add_node_to_pipeline_graph & refactor load_from_config and add_node to use it
* Fix pipeline tests
* Move some tests out of test_pipeline.py and create MockDenseRetriever
* myoy and pylint (silencing too-many-public-methods)
* Fix issue found in some yaml files and in schema files
* Fix paths to YAML and fix some typos in Ray
* Fix eval tests
* Simplify MockDenseRetriever
* Fix Ray test
* Accidentally pushed merge coinflict, fixed
* Typo in schemas
* Typo in _json_schema.py
* Slightly reduce noisyness of version validation warnings
* Fix version logs tests
* Fix version logs tests again
* remove seemingly unused file
* Add check and test to avoid adding the same node to the pipeline twice
* Update Documentation & Code Style
* Revert config to pipeline_config
* Remo0ve unused import
* Complete reverting to pipeline_config
* Some more stray config=
* Update Documentation & Code Style
* Feedback
* Move back other_nodes tests into pipeline tests temporarily
* Update Documentation & Code Style
* Fixing tests
* Update Documentation & Code Style
* Fixing ray and standard pipeline tests
* Rename colliding load() methods in dense retrievers and faiss
* Update Documentation & Code Style
* Fix mypy on ray.py as well
* Add check for no root node
* Fix tests to use load_from_directory and load_index
* Try to workaround the disabled add_node of RayPipeline
* Update Documentation & Code Style
* Fix Ray test
* Fix FAISS tests
* Relax class check in _add_node_to_pipeline_graph
* Update Documentation & Code Style
* Try to fix mypy in ray.py
* unused import
* Try another fix for Ray
* Fix connector tests
* Update Documentation & Code Style
* Fix ray
* Update Documentation & Code Style
* use BaseComponent.load() in pipelines/base.py
* another round of feedback
* stray BaseComponent.load()
* Update Documentation & Code Style
* Fix FAISS tests too
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* Add windows specific package for python-magic
* Disable some tests on Windows and add explanatory warning in case of issues with libmagic
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* Change exception into warning, add strict_version param, and remove compatibility between schemas
* Simplify update_json_schema
* Rename unstable into master
* Prevent validate_config from changing the config to validate
* Fix version validation and add tests
* Rename master into ignore
* Complete parameter rename
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* Add failing test
* Remove `**kwargs` from docstores' `__init__` functions (#2407)
* Remove kwargs from ESDocStore subclasses
* Remove kwargs from subclasses of SQLDocumentStore
* Remove kwargs from Weaviate
* Revert change in pinecone
* Fix tests
* Fix retriever test wirh weaviate
* Change Exception into DocumentStoreError
* Update Documentation & Code Style
* Remove `**kwargs` from `FARMReader` (#2413)
* Remove FARMReader kwargs without trying to replace them functionally
* Update Documentation & Code Style
* enforce same index values before and after saving/loading eval dataframes (#2398)
* Add tests for missing `__init__` and `super().__init__()` in custom nodes (#2350)
* Add tests for missing init and super
* Update Documentation & Code Style
* change in with endswith
* Move test in pipeline.py and change test in pipeline_yaml.py
* Update Documentation & Code Style
* Use caplog to test the warning
* Update Documentation & Code Style
* move tests into test_pipeline and use get_config
* Update Documentation & Code Style
* Unmock version name
* Improve variadic args test
* Update Documentation & Code Style
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* remove duplicate imports
* fix ungrouped-imports
* Fix wrong-import-position
* Fix unused-import
* pyproject.toml
* Working on wrong-import-order
* Solve wrong-import-order
* fix Pool import
* Move open_search_index_to_document_store and elasticsearch_index_to_document_store in elasticsearch.py
* remove Converter from modeling
* Fix mypy issues on adaptive_model.py
* create es_converter.py
* remove converter import
* change import path in tests
* Restructure REST API to not rely on global vars from search.apy and improve tests
* Fix openapi generator
* Move variable initialization
* Change type of FilterRequest.filters
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* Make initialize_device_settings take a devices list, and change signature of FARMReader
* reintroduce use_gpu and propagate devices to other methods
* fix typing for initialize_device_settings
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* Fix 'bug' on Weaviate only returning max. 100 docs on get_all_documents
* Add type
* Update Weaviate version on the CI
* Fix bug on get_document_count where there are no documents
* Add more info in the docstrings of get_all_documents and get_all_documents_generator
* Add latest docstring and tutorial changes
* Apply Black
* Update Documentation & Code Style
* Trigger pipeline
* Update Documentation & Code Style
* Include StefanBogdan feedback
* Fix mypy issues and LogicalFilterClause
* Add more types
* Update Documentation & Code Style
* update setup.cfg
* Upgrade weaviate containers too
* Allow to filter for content field in Weaviate
* Use convert_to_weaviate instead of convert_to_pinecone
* Fix _get_all_documents_in_index
* Update docstrings and docs
* Catching an exception in get_document(s)_by_id
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* EvaluationSetClient for deepset cloud to fetch evaluation sets and labels for one specific evaluation set
* make DeepsetCloudDocumentStore able to fetch uploaded evaluation set names
* fix missing renaming of get_evaluation_set_names in DeepsetCloudDocumentStore
* update documentation for evaluation set functionality in deepset cloud document store
* DeepsetCloudDocumentStore tests for evaluation set functionality
* rename index to evaluation_set_name for DeepsetCloudDocumentStore evaluation set functionality
* raise DeepsetCloudError when no labels were found for evaluation set
* make use of .get_with_auto_paging in EvaluationSetClient
* Return result of get_with_auto_paging() as it parses the response already
* Make schema import source more specific
* fetch all evaluation sets for a workspace in deepset Cloud
* Rename evaluation_set_name to label_index
* make use of generator functionality for fetching labels
* Update Documentation & Code Style
* Adjust function input for DeepsetCloudDocumentStore.get_all_labels, adjust tests for it, fix typos, make linter happy
* Match error message with pytest.raises
* Update Documentation & Code Style
* DeepsetCloudDocumentStore.get_labels_count raises DeepsetCloudError when no evaluation set was found to count labels on
* remove unneeded import in tests
* DeepsetCloudDocumentStore tests, make reponse bodies a string through json.dumps
* DeepsetcloudDocumentStore.get_label_count - move raise to return
* stringify uuid before json.dump as uuid is not serilizable
* DeepsetcloudDocumentStore - adjust response mocking in tests
* DeepsetcloudDocumentStore - json dump response body in test
* DeepsetCloudDocumentStore introduce label_index, EvaluationSetClient rename label_index to evaluation_set
* Update Documentation & Code Style
* DeepsetCloudDocumentStore rename evaluation_set to evaluation_set_response as there is a name clash with the input variable
* DeepsetCloudDocumentStore - rename missed variable in test
* DeepsetCloudDocumentStore - rename missed label_index to index in doc string, rename label_index to evaluation_set in EvaluationSetClient
* Update Documentation & Code Style
* DeepsetCloudDocumentStore - update docstrings for EvaluationSetClient
* DeepsetCloudDocumentStore - fix typo in doc string
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