* 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
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
* Capitalize starting letter in params
Capitalized the starting letter in code examples for params in keeping with the latest names for nodes where first letter is capitalized.
Refer: https://github.com/deepset-ai/haystack/issues/1748
* Update standard_pipelines.py
Capitalized some starting letters in the docstrings in keeping with the updated node names for standard pipelines
* 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
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
* Bump Weaviate
* Bump Weaviate
* Bump Weaviate client
* Bump Weaviate
* Revert client version
There is a change in the client API that needs to be addressed before bumping its version
* Annotation Tool: data is not persisted when using local version #853
* First version of weaviate
* First version of weaviate
* First version of weaviate
* Updated comments
* Updated comments
* ran query, get and write tests
* update embeddings, dynamic schema and filters implemented
* Initial set of tests and fixes
* Tests added for update_embeddings and delete documents
* introduced duplicate documents fix
* fixed mypy errors
* Added Weaviate to requirements
* Fix the weaviate docker env variables
* Fixing test dependencies for now
* Created weaviate test marker and fixed query
* Update docstring
* Add documentation
* Bump up weaviate version
* Bump up weaviate version in documentation
* Bump up weaviate version in documentation
* Updgrade weaviate version
Co-authored-by: Malte Pietsch <malte.pietsch@deepset.ai>
* Adding ranker similar to retriever and reader
* Sort documents according to query-document similarity scores
* Reranking and model training runs for small example
* Added EvalRanker node
* Calculate recall@k in EvalRetriever and EvalRanker nodes
* Renaming EvalRetriever to EvalDocuments and EvalReader to EvalAnswers
* Added mean reciprocal rank as metric for EvalDocuments
* Fix bug that appeared when ranking documents with same score
* Remove commented code for unimplmented eval() of Ranker node
* Add documentation of k parameter in EvalDocuments
* Add Ranker docu and renaming top_k param
* Create knowledge_graph.md
* add doc strings to Text2SparqlRetriever
* Add doc strings to GraphDBKnowledgeGraph
* Make method calls unambiguous so its clear which class is meant
* Adding translator with many generic input parameter support
* Making dict_key as generic
* Fixing mypy issue
* Adding pipeline and using opus models
* Add latest docstring and tutorial changes
* Adding test cases for end-to-end translation for generator, summerizer etc
* raise error join and merge nodes
* Fix test failure
* add docstrings. add usage documentation. rm skip_special_tokens param
* Add latest docstring and tutorial changes
* fix code snippets in md
* Adding few extra configuration parameters and fixing tests
* Fixingmypy issue and updating usage document
* fix for mypy issue in pipeline.py
* reverting renaming of pytest_collection_modifyitems method
* Addressing review comments
* setting skip_special_tokens to True
* removing model_max_length argument as None type is not supported to many models
* Removing padding parameter. Better to leave it as default otherwise it cause tensor size miss match error. If this option required by used then it can be added later.
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: Malte Pietsch <malte.pietsch@deepset.ai>
* WIP: First version of preprocessing tutorial
* stride renamed overlap, ipynb and py files created
* rename split_stride in test
* Update preprocessor api documentation
* define order for markdown files
* define order of modules in api docs
* Add colab links
* Incorporate review feedback
Co-authored-by: PiffPaffM <markuspaff.mp@gmail.com>
* new docs version
* updated directory structure
* Add pipelines page
* Add Finder deprecation suggestion
* header for pipelines file
* Document MySQL support
* Mention DPR train tutorial coming soon
* Mention open distro ES
* Update doc strings regarding similarity fn
* Add link to API docs
* Wrap pipelines docs in box
* add api reference for pipelines
* copied latest version to v0.6.0
* Remove space
* Remove space
* Copy to v0.6.0
Co-authored-by: brandenchan <brandenchan@icloud.com>
