* Added uniform normalization method to each of the DocStores (implemented), so that now Milvus and Weaviate doc stores can use cosine similarity, plus future method for making existing embeddings normaziled (empty for now).
* Fixed a typo.
* Fixed lots of stuff. Performed local tests.
* Fixed scores representation for cosine. Assuming Weavieate's rep needs no change.
* fixes as per discussion
* Trigger CI
* resolving conflicts
* small typo
* fixed a param type
* cleaned some conflicts resolving left overs
* commented out fastmath for a moment
* fixing tests
* added docstore for small vectors
* test
* fixed document_store_cosine_small
* cosine tests fixes
* fixed document_store_cosine_small
* fixed weaviate index name and lowered rtol for ES
* increased rtol
* added explicit doc_ids for weaviate, excluded ES, included Inmemory
* resolving mismatch
* fixing a typo
* flatten normalize_embedding()
* fix import for test
* standardize normalize_embeddings across doc stores
* Add latest docstring and tutorial changes
* going for the faster plain dot prod
Co-authored-by: fingoldo <fingoldo@gmail.com>
Co-authored-by: Malte Pietsch <malte.pietsch@deepset.ai>
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
* 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>
* ensure tf-idf matrix calculation before retrieval
* Run fit() automatically if new documents have been added
* Add latest docstring and tutorial changes
* Fix type error
* Add test case for tfidf retriever yaml pipeline
* Use InMemoryDocStore and add 2nd test case
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
* Update README.md
* Incorporate link into Haystack logo
* Fix jobs link
* Update tutorials and demo
* Change order of sections
* Rename tutorial section
* Create jobs and community sections
* Change wording
* Change section title
* Change wording
* Add tutorial links and pipeline image
* Truncate too large tables for TableReader
* Add documentation
* Add latest docstring and tutorial changes
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
* 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
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
* 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
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: Malte Pietsch <malte.pietsch@deepset.ai>
* Update jobs link to personio
* Add latest docstring and tutorial changes
* Change jobs link to main website
* Add latest docstring and tutorial changes
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
* 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
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
* Rename TransformersAdamW into simply AdamW (probably changed in transformers at some point)
* Add latest docstring and tutorial changes
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
* Add node names validation
* Add tests
* Improve test and test that params exists before validating
* Fix the REST API
* Use minilm-uncased-squad2 instead of roberta-base-squad2
* Use roberta model for test_pipeline.yaml
* Turn off TOKENIZERS_PARALLELISM in generator tests (#1605)
* Account for non-targeted parameters
* Restore previous parameters handling in the rest api
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: Julian Risch <julian.risch@deepset.ai>
* adding create checkpoint feature for train function in farm reader
* added arguments for create_or_load_checkpoint function
* accessing class method inside Trainer class
* added default value for checkpoint_root_dir and checkpoint_every, checkpoints_to_keep as arguments for reader.train()
* change in default value for checkpoint_root_dir and checkpoint_every
* update docstring and add Path conversion
Co-authored-by: girish.koushik <girish.koushik@diatoz.com>
Co-authored-by: Malte Pietsch <malte.pietsch@deepset.ai>
