* Create the /initialized endpoint
* Now showing an error message if the connection fails, and a 'Haystack is loading' message while workers are starting up
* Improve the appearance of the various messages
* Newline at the end of file
* 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
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
* Add inferencer for QA only
* Add latest docstring and tutorial changes
* Add QA inferencer tests
* Add type annotations for inferencer
* Fix type annotations, move util functions
* Fix type annotations
* Move fixtures to the top of the file
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
* Define SAS model in notebook
* Add latest docstring and tutorial changes
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
* Saves the FAISSDocumentStore init params to JSON at save() and loads them at load() if they're found. First draft, to be tested.
* Fixing issue with string/Path objects in a few string operations, thanks mypy
* Leverage self.set_config instead of saving the parameters in a separate attribute
* Modify test_faiss_and_milvus:test_faiss_index_save_and_load to test that init params are preserved
* Add assert to verify that the SQL doc count and FAISS vector count is equal. Needs to always specify the name of the SQL db for this to work
* Simplified the implementation a bit, add better comments
* Forgot a return at the end of the file
* Fixing some of the suggestions from the review
* Add a try-catch in the load method and fix the tests
* Typo
* feat: normalize embeddings for cosine sim
* WIP add test case for faiss cosine
* input to faiss normalize needs to be an array of vectors
* fix: test should compare correct result embedding to original embedding
* add sanity check for cosine sim
* fix typo
* normalize cosine score
* Update docstring
Co-authored-by: Malte Pietsch <malte.pietsch@deepset.ai>
* remove not needed githab actions and reactivate docstrings and tutorial generation
* test workflow
* update pydoc version
* update python version
* update watchdog
* move to latest version pydoc-markdown
* remove version check
* Add latest docstring and tutorial changes
* remove test workflow
* test for param docstrings
* pin pydoc-markdown version
* add test workflow
* pin watchdog version
* Add latest docstring and tutorial changes
* update original workflow and delete test
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
* Add type annotations in QuestionAnsweringHead
* Fix test by increasing max_seq_len
* Add SampleBasket type annotation
* Remove prediction head param from adaptive model init
* Add type ignore for AdaptiveModel init
* Fix and rename tests
* Adjust folder structure
Co-authored-by: Julian Risch <julian.risch@deepset.ai>
* Added functionality for Google Colab usecase
* Corrected typo in installation guide of driver
* Corrected typo in installation guide of driver
* Corrected the copy command
* Added support for Multi-GPU inference to DPR including benchmark
* fixed multi gpu
* added batch size to benchmark to better reflect multi gpu capabilities
* remove unnecessary entry in config.json
* fixed typos
* fixed config name
* update benchmark to use DEVICES constant
* changed multi gpu parameters and updated docstring
* adds silent fallback on cpu
* update doc string, warning and config
Co-authored-by: Michel Bartels <kontakt@michelbartels.com>
Co-authored-by: Malte Pietsch <malte.pietsch@deepset.ai>
