* Add BasePipeline.validate_config, BasePipeline.validate_yaml, and some new custom exception classes
* Make error composition work properly
* Clarify typing
* Help mypy a bit more
* Update Documentation & Code Style
* Enable autogenerated docs for Milvus1 and 2 separately
* Revert "Enable autogenerated docs for Milvus1 and 2 separately"
This reverts commit 282be4a78a6e95862a9b4c924fc3dea5ca71e28d.
* Update Documentation & Code Style
* Re-enable 'additionalProperties: False'
* Add pipeline.type to JSON Schema, was somehow forgotten
* Disable additionalProperties on the pipeline properties too
* Fix json-schemas for 1.1.0 and 1.2.0 (should not do it again in the future)
* Cal super in PipelineValidationError
* Improve _read_pipeline_config_from_yaml's error handling
* Fix generate_json_schema.py to include document stores
* Fix json schemas (retro-fix 1.1.0 again)
* Improve custom errors printing, add link to docs
* Add function in BaseComponent to list its subclasses in a module
* Make some document stores base classes abstract
* Add marker 'integration' in pytest flags
* Slighly improve validation of pipelines at load
* Adding tests for YAML loading and validation
* Make custom_query Optional for validation issues
* Fix bug in _read_pipeline_config_from_yaml
* Improve error handling in BasePipeline and Pipeline and add DAG check
* Move json schema generation into haystack/nodes/_json_schema.py (useful for tests)
* Simplify errors slightly
* Add some YAML validation tests
* Remove load_from_config from BasePipeline, it was never used anyway
* Improve tests
* Include json-schemas in package
* Fix conftest imports
* Make BasePipeline abstract
* Improve mocking by making the test independent from the YAML version
* Add exportable_to_yaml decorator to forget about set_config on mock nodes
* Fix mypy errors
* Comment out one monkeypatch
* Fix typing again
* Improve error message for validation
* Add required properties to pipelines
* Fix YAML version for REST API YAMLs to 1.2.0
* Fix load_from_yaml call in load_from_deepset_cloud
* fix HaystackError.__getattr__
* Add super().__init__()in most nodes and docstore, comment set_config
* Remove type from REST API pipelines
* Remove useless init from doc2answers
* Call super in Seq3SeqGenerator
* Typo in deepsetcloud.py
* Fix rest api indexing error mismatch and mock version of JSON schema in all tests
* Working on pipeline tests
* Improve errors printing slightly
* Add back test_pipeline.yaml
* _json_schema.py supports different versions with identical schemas
* Add type to 0.7 schema for backwards compatibility
* Fix small bug in _json_schema.py
* Try alternative to generate json schemas on the CI
* Update Documentation & Code Style
* Make linux CI match autoformat CI
* Fix super-init-not-called
* Accidentally committed file
* Update Documentation & Code Style
* fix test_summarizer_translation.py's import
* Mock YAML in a few suites, split and simplify test_pipeline_debug_and_validation.py::test_invalid_run_args
* Fix json schema for ray tests too
* Update Documentation & Code Style
* Reintroduce validation
* Usa unstable version in tests and rest api
* Make unstable support the latest versions
* Update Documentation & Code Style
* Remove needless fixture
* Make type in pipeline optional in the strings validation
* Fix schemas
* Fix string validation for pipeline type
* Improve validate_config_strings
* Remove type from test p[ipelines
* Update Documentation & Code Style
* Fix test_pipeline
* Removing more type from pipelines
* Temporary CI patc
* Fix issue with exportable_to_yaml never invoking the wrapped init
* rm stray file
* pipeline tests are green again
* Linux CI now needs .[all] to generate the schema
* Bugfixes, pipeline tests seems to be green
* Typo in version after merge
* Implement missing methods in Weaviate
* Trying to avoid FAISS tests from running in the Milvus1 test suite
* Fix some stray test paths and faiss index dumping
* Fix pytest markers list
* Temporarily disable cache to be able to see tests failures
* Fix pyproject.toml syntax
* Use only tmp_path
* Fix preprocessor signature after merge
* Fix faiss bug
* Fix Ray test
* Fix documentation issue by removing quotes from faiss type
* Update Documentation & Code Style
* use document properly in preprocessor tests
* Update Documentation & Code Style
* make preprocessor capable of handling documents
* import document
* Revert support for documents in preprocessor, do later
* Fix bug in _json_schema.py that was breaking validation
* re-enable cache
* Update Documentation & Code Style
* Simplify calling _json_schema.py from the CI
* Remove redundant ABC inheritance
* Ensure exportable_to_yaml works only on implementations
* Rename subclass to class_ in Meta
* Make run() and get_config() abstract in BasePipeline
* Revert unintended change in preprocessor
* Move outgoing_edges_input_node check inside try block
* Rename VALID_CODE_GEN_INPUT_REGEX into VALID_INPUT_REGEX
* Add check for a RecursionError on validate_config_strings
* Address usages of _pipeline_config in data silo and elasticsearch
* Rename _pipeline_config into _init_parameters
* Fix pytest marker and remove unused imports
* Remove most redundant ABCs
* Rename _init_parameters into _component_configuration
* Remove set_config and type from _component_configuration's dict
* Remove last instances of set_config and replace with super().__init__()
* Implement __init_subclass__ approach
* Simplify checks on the existence of _component_configuration
* Fix faiss issue
* Dynamic generation of node schemas & weed out old schemas
* Add debatable test
* Add docstring to debatable test
* Positive diff between schemas implemented
* Improve diff printing
* Rename REST API YAML files to trigger IDE validation
* Fix typing issues
* Fix more typing
* Typo in YAML filename
* Remove needless type:ignore
* Add tests
* Fix tests & validation feedback for accessory classes in custom nodes
* Refactor RAGeneratorType out
* Fix broken import in conftest
* Improve source error handling
* Remove unused import in test_eval.py breaking tests
* Fix changed error message in tests matches too
* Normalize generate_openapi_specs.py and generate_json_schema.py in the actions
* Fix path to generate_openapi_specs.py in autoformat.yml
* Update Documentation & Code Style
* Add test for FAISSDocumentStore-like situations (superclass with init params)
* Update Documentation & Code Style
* Fix indentation
* Remove commented set_config
* Store model_name_or_path in FARMReader to use in DistillationDataSilo
* Rename _component_configuration into _component_config
* Update Documentation & Code Style
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
* update remaining occurences of get_connection
* fix milvus2 import and fix wrong extra references
* change MilvusDocumentStore to Milvus1DocumentStore
* update milvus docstrings to reflect updated dependency management
* enable milvus 2 tests
* fix milvus2 env variable processing
* fix dropping collections for each milvus 2 test
* make Milvus 2 doc store tests work
* allow user to specify consistency level
* Fist attempt at running Milvus2 in the CI
* Install the correct pymilvus
* add batch deletion for milvus2
* change default from milvus 1 to milvus 2
* make milvus2 the default in the docstores extra
* Switch milvus1 and milvus2 in base test run on CI
* Rename docstore flags for pytest: 'milvus'->'milvus1', 'milvus2'->'milvus'
* Rename milvus.py->milvus1.py and milvus2x.py->milvus2.py
* Enable autogenerated docs for Milvus1 and 2 separately
* Partial fix to docstring of Milvus2DocumentStore
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Co-authored-by: Michel Bartels <kontakt@michelbartels.com>
Co-authored-by: Sara Zan <sara.zanzottera@deepset.ai>
* add filter classes
* update filter comments
* Add util classes for converting filters (#2123)
* Apply Black
* reintroduce eval functions to filter ops
* Update documentation
* update to latest pymilvus version
* Apply Black
* fixing type hints
* Apply Black
* update write_documents method of milvus2 doc store
* remove unnecessary method
* update init
* remove changes to milvus 2 as they are part of other PR
* remove changes to milvus 2 as they are part of other PR
* updating doc strings to match elastic search filter doc
* Update Documentation & Code Style
* add support for case where there is no meta data defined for key
* update behaviour in case of field not existing in entry
* Update Documentation & Code Style
* add test for InMemoryDocumentStore extended meta data filtering
* make type hint more precise
Co-authored-by: bogdankostic <bogdankostic@web.de>
Co-authored-by: Sara Zan <sara.zanzottera@deepset.ai>
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Co-authored-by: Sara Zan <sarazanzo94@gmail.com>
* update remaining occurences of get_connection
* first commit to add extended metadata filtering support to sql
* fix bugs
* adding sql doc store instead of milvus
* removing updates to milvus2 from other PR
* fixing not operator
* delete left over line
* remove unnecessary import
* Update Documentation & Code Style
* fix circular import
* fix left over merge conflict
* Update Documentation & Code Style
* fix abstract class
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* Testing black on ui/
* Applying black on docstores
* Add latest docstring and tutorial changes
* Create a single GH action for Black and docs to reduce commit noise to the minimum, slightly refactor the OpenAPI action too
* Remove comments
* Relax constraints on pydoc-markdown
* Split temporary black from the docs. Pydoc-markdown was obsolete and needs a separate PR to upgrade
* Fix a couple of bugs
* Add a type: ignore that was missing somehow
* Give path to black
* Apply Black
* Apply Black
* Relocate a couple of type: ignore
* Update documentation
* Make Linux CI run after applying Black
* Triggering Black
* Apply Black
* Remove dependency, does not work well
* Remove manually double trailing commas
* Update documentation
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* provide option to recreate es doc store on initialization
* Add latest docstring and tutorial changes
* Label expects more arguments
* Label expects also an answer
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Co-authored-by: Sara Zan <sara.zanzottera@deepset.ai>
* Review changes
* Added the synonym analyser for search fields
* Added the review requests.
* Added the synonyms the OpenSearchDocumentStore and review requests.
* Fist attempt at using setup.cfg for dependency management
* Trying the new package on the CI and in Docker too
* Add composite extras_require
* Add the safe_import function for document store imports and add some try-catch statements on rest_api and ui imports
* Fix bug on class import and rephrase error message
* Introduce typing for optional modules and add type: ignore in sparse.py
* Include importlib_metadata backport for py3.7
* Add colab group to extra_requires
* Fix pillow version
* Fix grpcio
* Separate out the crawler as another extra
* Make paths relative in rest_api and ui
* Update the test matrix in the CI
* Add try catch statements around the optional imports too to account for direct imports
* Never mix direct deps with self-references and add ES deps to the base install
* Refactor several paths in tests to make them insensitive to the execution path
* Include tstadel review and re-introduce Milvus1 in the tests suite, to fix
* Wrap pdf conversion utils into safe_import
* Update some tutorials and rever Milvus1 as default for now, see #2067
* Fix mypy config
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* doc store should return all documents matching ids passed to get_documents_by_id
* test for get_document_by_id should be named correctly
* add test for get_documents_by_id
* Add latest docstring and tutorial changes
* document es query limit
* Add latest docstring and tutorial changes
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* minimal DCDocumentStore
* support filters
* implement get_documents_by_id
* handle not existing documents
* add docstrings
* auth added
* add tests
* generate docs
* Add latest docstring and tutorial changes
* add responses to dev dependencies
* fix tests
* support query() and quey_by_embedding()
* Add latest docstring and tutorial changes
* query tests added
* read api_key and api_endpoint from env
* Add latest docstring and tutorial changes
* support query() and quey_by_embedding()
* query tests added
* Add latest docstring and tutorial changes
* Add latest docstring and tutorial changes
* support dynamic similarity and return_embedding values
* Add latest docstring and tutorial changes
* adjust KeywordDocumentStore description
* refactoring
* Add latest docstring and tutorial changes
* implement get_document_count and raise on all not implemented methods
* Add latest docstring and tutorial changes
* don't use abbreviation DC in comments and errors
* Add latest docstring and tutorial changes
* docstring added to KeywordDocumentStore
* Add latest docstring and tutorial changes
* enhanced api key set
* split tests into two parts
* change setup.py in order to work around build cache
* added link
* Add latest docstring and tutorial changes
* rename DCDocumentStore to DeepsetCloudDocumentStore
* Add latest docstring and tutorial changes
* remove dc.py
* reinsert link to docs
* fix imports
* Add latest docstring and tutorial changes
* better test structure
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Co-authored-by: ArzelaAscoIi <kristof.herrmann@rwth-aachen.de>
* Properly fix MetaDocumentORM and MetaLabelORM with composite foreign key constraints
* update_document_meta() was not using index properly
* Exclude ES and Memory from the cosine_sanity_check test
* move ensure_ids_are_correct_uuids in conftest and move one test back to faiss & milvus suite
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* align document store similarity functions
* remove unnecessary imports
* undone accidental change
* stopped weaviate from pretending to support dot product similarity
* stopped weaviate from pretending to support dot product similarity
* Add latest docstring and tutorial changes
* fix fixture params for document stores
* use cosine similarity for most tests
* fix cosine similarity test
* fix faiss test
* fix weaviate test
* fix accidental deletion
* fix document_store fixture
* test fix; shouldn't be merged
* fix test_normalize_embeddings_diff_shapes
* probably a better fix
* fix for parameter combinations
* revert new pytest_generate_tests functionality
* simplify pytest_generate_tests
* normalize embeddings for test_dpr_embedding
* add to faiss doc that embeddings are normalized
* Add latest docstring and tutorial changes
* remove unnecessary parameters and add comments
* simplify two lines of memory.py into one
* test similarity scores with smaller language model
* fix test_similarity_score
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* Refactored code to unify vector_dim and embedding_dim parameter in DocumentStores
* Unit test cases updated to use `embedding_dim` instead of `vector_dim`
* Unit test case update to use embedding_dim instead of vector_dim
* Add latest docstring and tutorial changes
* Put usage of `vector_dim` param in same if-block as corresponding warning
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Co-authored-by: bogdankostic <bogdankostic@web.de>
* retriever metrics added
* Add latest docstring and tutorial changes
* answer and document level matching metrics implemented
* Add latest docstring and tutorial changes
* answer related metrics for retriever
* basic reader metrics implemented
* handle no_answers
* fix typing
* fix tests
* fix tests without sas
* first draft for simulated top k
* rename sas and f1 columns in dataframe
* refactoring of EvaluationResult
* Add latest docstring and tutorial changes
* more eval tests added
* fix sas expected value precision
* distinction between ir and qa recall
* EvaluationResult.worst_queries() implemented
* print_evaluation_report() added
* eval report for QA Pipeline improved
* dynamic metrics for worst queries calc
* Add latest docstring and tutorial changes
* method names adjusted
* simple test for print_eval_report() added
* improved documentation
* Add latest docstring and tutorial changes
* minor formatting
* Add latest docstring and tutorial changes
* fix no_answer cases
* adjust one docstring
* Add latest docstring and tutorial changes
* fix no_answer cases for sas
* batchmode for sas implemented
* fix for retriever metrics if there are only no_answers
* fix multilabel tests
* improve documentation for pipeline.eval()
* streamline multilabel aggregates and docs
* Add latest docstring and tutorial changes
* fix multilabel tests
* unify document_id
* add dataframe schema description to EvaluationResult
* Add latest docstring and tutorial changes
* rename worst_queries to wrong_examples
* Add latest docstring and tutorial changes
* make query digesting standard pipelines work with pipeline.eval()
* Add latest docstring and tutorial changes
* tests for multi retriever pipelines added
* remove unnecessary import
* print_eval_report(): support all pipelines without junctions
* Add latest docstring and tutorial changes
* fix typos
* Add latest docstring and tutorial changes
* fix minor simulated_top_k bug and use memory documentstore throughout tests
* sas model param description improved
* Add latest docstring and tutorial changes
* rename recall metrics
* Add latest docstring and tutorial changes
* fix mean average precision link
* Add latest docstring and tutorial changes
* adjust sas description docstring
* Add latest docstring and tutorial changes
* Add latest docstring and tutorial changes
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Co-authored-by: Malte Pietsch <malte.pietsch@deepset.ai>
* Introduced an arg add synonyms to Elasticsearch
* Added the test code, removed the whitespace formatting changes, and overwrote the relevant parts from the already existing mapping instead of creating new mapping.
* Added the test code
* Remove whitespace change
* Added the doc_string with examples and link
* Removed unneccessary spaces
* Add latest docstring and tutorial changes
* fix text_field -> content_field
Co-authored-by: sowmiya-emplay <sowmiya.j@emplay.net>
Co-authored-by: Malte Pietsch <malte.pietsch@deepset.ai>
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* Filtering records not having embeddings
* Added support for skip_missing_embeddings Flag. Default behavior is throw error when embeddings are missing. If skip_missing_embeddings=True then documents without embeddings are ignored for vector similarity
* Fix for below error:
haystack/document_stores/elasticsearch.py:852: error: Need type annotation for "script_score_query"
* docstring for skip_missing_embeddings parameter
* Raise exception where no documents with embeddings is found for Embedding retriever.
* Default skip_missing_embeddings to True
* Explicitly check if embeddings are present if no results are returned by EmbeddingRetriever for Elasticsearch
* Added test case for based on Julian's input
* Added test case for based on Julian's input. Fix pytest error on the testcase
* Added test case for based on Julian's input. Fix pytest error on the testcase
* Added test case for based on Julian's input. Fix pytest error on the testcase
* Simplify code by using get_embed_count
* Adjust docstring & error msg slightly
* Revert error msg
Co-authored-by: Malte Pietsch <malte.pietsch@deepset.ai>
* Add support for tables in SQLDocumentStore, FAISSDocumentStore and MilvuDocumentStore
* Add support for WeaviateDocumentStore
* Make sure that embedded meta fields are strings + add embedding_dim to WeaviateDocStore in test config
* Add latest docstring and tutorial changes
* Represent tables in WeaviateDocumentStore as nested lists
* Fix mypy
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* create uuid and dummy embeddding in weaviate doc store
* handle and test for duplicate non-uuid-formatted ids in weaviate
* add uuid and dummy embedding to doc strings
* Add latest docstring and tutorial changes
* Upgrade weaviate
* Include weaviate in common doc store test cases
* Add latest docstring and tutorial changes
* Exclude weaviate doc store from eval tests
* Incorporate index name in uuid generation
* Ignore mypy error
* Fix typo
* Restore DOCS without uuid and embeddings generated by weaviate
* Supply docs for retriever tests as fixture
* Limit scope of fixture to function instead of session
* Add comments
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* Feat: Removing use of temp file while downloading archive from url along with adding CI for windows and mac platform
* Windows CI by default installing pytorch gpu hence updating CI to pick cpu version
* fixing mac cache build issue
* updating windows pip install command for torch
* another attempt
* updating ci
* Adding sudo
* fixing ls failure on windows
* another attempt to fix build issue
* Saving env variable of test files
* Adding debug log
* Github action differ on windows
* adding debug
* anohter attempt
* Windows have different ways to receive env
* fixing template
* minor fx
* Adding debug
* Removing use of json
* Adding back fromJson
* addin toJson
* removing print
* anohter attempt
* disabling parallel run at least for testing
* installing docker for mac runner
* correcting docker install command
* Linux dockers are not suported in windows
* Removing mac changes
* Upgrading pytorch
* using lts pytorch
* Separating win and ubuntu
* Install java 11
* enabling linux container env
* docker cli command
* docker cli command
* start elastic service
* List all service
* correcting service name
* Attempt to fix multiple test run
* convert to json
* another attempt to check
* Updating build cache step
* attempt
* Add tika
* Separating windows CI
* Changing CI name
* Skipping test which does not work in windows
* Skipping tests for windows
* create cleanup function in conftest
* adding skipif marker on tests
* Run windows PR on only push to master
* Addressing review comments
* Enabling windows ci for this PR
* Tika init is being called when importing tika function
* handling tika import issue
* handling tika import issue in test
* Fixing import issue
* removing tika fixure
* Removing fixture from tests
* Disable windows ci on pull request
* Add back extra pytorch install step
Co-authored-by: Malte Pietsch <malte.pietsch@deepset.ai>
* Files moved, imports all broken
* Fix most imports and docstrings into
* Fix the paths to the modules in the API docs
* Add latest docstring and tutorial changes
* Add a few pipelines that were lost in the inports
* Fix a bunch of mypy warnings
* Add latest docstring and tutorial changes
* Create a file_classifier module
* Add docs for file_classifier
* Fixed most circular imports, now the REST API can start
* Add latest docstring and tutorial changes
* Tackling more mypy issues
* Reintroduce from FARM and fix last mypy issues hopefully
* Re-enable old-style imports
* Fix some more import from the top-level package in an attempt to sort out circular imports
* Fix some imports in tests to new-style to prevent failed class equalities from breaking tests
* Change document_store into document_stores
* Update imports in tutorials
* Add latest docstring and tutorial changes
* Probably fixes summarizer tests
* Improve the old-style import allowing module imports (should work)
* Try to fix the docs
* Remove dedicated KnowledgeGraph page from autodocs
* Remove dedicated GraphRetriever page from autodocs
* Fix generate_docstrings.sh with an updated list of yaml files to look for
* Fix some more modules in the docs
* Fix the document stores docs too
* Fix a small issue on Tutorial14
* Add latest docstring and tutorial changes
* Add deprecation warning to old-style imports
* Remove stray folder and import Dict into dense.py
* Change import path for MLFlowLogger
* Add old loggers path to the import path aliases
* Fix debug output of convert_ipynb.py
* Fix circular import on BaseRetriever
* Missed one merge block
* re-run tutorial 5
* Fix imports in tutorial 5
* Re-enable squad_to_dpr CLI from the root package and move get_batches_from_generator into document_stores.base
* Add latest docstring and tutorial changes
* Fix typo in utils __init__
* Fix a few more imports
* Fix benchmarks too
* New-style imports in test_knowledge_graph
* Rollback setup.py
* Rollback squad_to_dpr too
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* Add delete_labels() except for weaviate doc store
* Add latest docstring and tutorial changes
* Add test for delete_labels()
* Adapt filter for label deletion to different doc stores in test
* Allow delete labels by _id in elasticsearch
* Add latest docstring and tutorial changes
* Add latest docstring and tutorial changes
* re-add bugfix after merge
* Add ids as optional parameter
* Add latest docstring and tutorial changes
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* Make InMemoryDocumentStore accept and apply filters in delete_documents()
* Modify test_document_store.py to test the filtered deletion in memory, sql and milvus too
* Make FAISSDocumentStore accept and properly apply filters in delete_documents()
* Add latest docstring and tutorial changes
* Remove accidentally duplicated test
* Remove unnecessary decorators from test/test_document_store.py::test_delete_documents_with_filters
* Add embeddings count test for FAISS and Milvus; Milvus fails it.
* Fixed a bug that made Milvus not deleting embeddings
* Remove batch size parametrization in tests & update all documentstore's docstrings with a filter example
* Add latest docstring and tutorial changes
Co-authored-by: prafgup <prafulgupta6@gmail.com>
* simplify tests for individual doc stores
* WIP refactoring markers of tests
* test alternative approach for tests with existing parametrization
* fix skip logic of already parametrized tests
* fix weaviate behaviour in tests - not parametrizing it in our general test cases.
* Add latest docstring and tutorial changes
* fix some tests
* remove sql from document_store_types
* fix markers for generator and pipeline test
* remove inmemory marker
* remove unneeded elasticsearch markers
* update readme and contributing.md
* update contributing
* adjust example
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* [UPDT] delete_all_documents() replaced by delete_documents()
* [UPDT] warning logs to be fixed
* [UPDT] delete_all_documents() renamed and the same method added
Co-authored-by: Ram Garg <ramgarg102@gmai.com>
* Fix duplicate question in Reader.eval()
* Add duplicate question support in document store
* Support duplicate questions in retriever eval
* Update tutorial
* Rename key_tuple
* Change error message
* Add warning when more than 6 labels
* Allow for label grouping options
* Add support for aggregating by label meta
* Satisfy mypy
* Fix duplicate question in Reader.eval()
* Add duplicate question support in document store
* Support duplicate questions in retriever eval
* Update tutorial
* Rename key_tuple
* Change error message
* Add warning when more than 6 labels
* Allow for label grouping options
* Add support for aggregating by label meta
* Satisfy mypy
* Make label field flexible, add docstrings
* Satisfy mypy
* Fix failing tests
* Adjust docstring
* Fix tutorial
Co-authored-by: Malte Pietsch <malte.pietsch@deepset.ai>
* [document_stores]Add the progressbar in update_embeddings() to track the overall documents progress closed#1037
* change 2nd level loop to docs. switch to tqdm.auto.
* [document_stores] Elasticsearch new method get_document_without_embedding_count() added.
* [test_case] Elasticsearch documentstore get_document_without_embedding_count() test case added.
* [document_stores] Add new bool arg in get_document_count() method and fixed#1082
* [document_stores] typo fixed#1082
Co-authored-by: Malte Pietsch <malte.pietsch@deepset.ai>
* using text hash as id to prevent document duplication. Also providing a way customize it.
* Add latest docstring and tutorial changes
* Fixing duplicate value test when text is same
* Adding test for duplicate ids in document store
* Changing exception to generic Exception type
* add exception for inmemory. update docstring Document. remove id_hash_keys from object attribute
* Add latest docstring and tutorial changes
* Add latest docstring and tutorial changes
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: Malte Pietsch <malte.pietsch@deepset.ai>
