* 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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* 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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* Experimental changes to support Milvus 2.x
* Milvus 2.0 need other containers hence adding them
* Add latest docstring and tutorial changes
* Fixing tests
* Correcting use of list collections
* correcting connection close
* Removing connection close logic
* removing flush
* using collection instead of connection
* fixing describe collection
* Fixing insert, query and search based on new signature
* Making mypy happy
* Fixing one test case
* Fixing search and embedding fetch based on newer api
* Implementing delete vector id function
* Wrapping up final changes
* Add latest docstring and tutorial changes
* Correcting requirements.txt
* removing empty line in requirements.txt
* add docstring and exception for delete
* add docstring. condition import on env var. raise exception for deletion
* fix typo
* change delete signature
* ignore typing for import
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Co-authored-by: Malte Pietsch <malte.pietsch@deepset.ai>
* 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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