* Enable Support for Meta LLama-2 Models in Amazon Sagemaker
* Improve unit test for invocation layers positioning
* Small adjustment, add more unit tests
* mypy fixes
* Improve unit tests
* Update test/prompt/invocation_layer/test_sagemaker_meta.py
Co-authored-by: Stefano Fiorucci <44616784+anakin87@users.noreply.github.com>
* PR feedback
* Add pydocs for newly extracted methods
* simplify is_proper_chat_*
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Co-authored-by: Stefano Fiorucci <44616784+anakin87@users.noreply.github.com>
Co-authored-by: anakin87 <stefanofiorucci@gmail.com>
* Activate tests that follow unit test and integration test rules
* Adding more integration labels
* Change name to better reflect complexity of test
* Remove mark integration tags, move test to doc store test for add_eval_data
* Removing incorrect integration label
* Deactivated document store test b/c it fails for Weaviate and pinecone
* Remove unit label since test needs to be refactored to be considered a unit test
* Undo changes
* Undo change
* Check every field in the load evaluation result
* Add back label and add skip reason
* Use pytest skip instead of TODO
* added hybrid search example
Added an example about hybrid search for faq pipeline on covid dataset
* formatted with back formatter
* renamed document
* fixed
* fixed typos
* added test
added test for hybrid search
* fixed withespaces
* removed test for hybrid search
* fixed pylint
* commented logging
* Update Claude support with the latest models, new streaming API, context window sizes
* Use Github Anthropic SDK link for tokenizer, revert _init_tokenizer
* Change example key name to ANTHROPIC_API_KEY
* recency reranker code
* removed
* readd
* edited code
* edit
* mypy test fix
* adding warnings for score method
* fix
* fix
* adding paper link
* comments implementation
* change to predict and predict_batch
* change to predict and predict_batch 2
* adding unit test
* fixes
* small fixes
* fix for unit test
* table driven test
* small fixes
* small fixes2
* adding predict_batch tests
* add recentness_ranker to api reference docs
* implementing feedback
* implementing feedback2
* implementing feedback3
* implementing feedback4
* implementing feedback5
* remove document_map, remove final check if score is not None
* add final check if doc score is not None for mypy
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Co-authored-by: Darja Fokina <daria.f93@gmail.com>
Co-authored-by: Julian Risch <julian.risch@deepset.ai>
* Install haystack with required extras
* remove whitespaces
Co-authored-by: Silvano Cerza <3314350+silvanocerza@users.noreply.github.com>
* Add sleep
* Add s for seconds
* Move container initialization in workflow
* Update e2e.yml
add nightly run
* use new folder for initial e2e test
* use file hash for caching and trigger on push to branch
* remove \n from model names read from file
* remove trigger on push to branch
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Co-authored-by: Silvano Cerza <3314350+silvanocerza@users.noreply.github.com>
Co-authored-by: bogdankostic <bogdankostic@web.de>
* Adding embed_meta_fields to ranker nodes
* Fix tests by adding case where embed_meta_fields=None
* Adding unit test for _add_meta_fields_to_docs
* Fix pylint
* Add unit test
* Added another unit test. Caught a bug.
* Adding more unit tests
* Add unit test
* Updating some older tests into unit tests using mocking
* Convert another test to unit test
* Test run method
* One last unit test
* Add job for ES8 integration tests
* Add unit test for Elasticsearch 8
* Add tests.yml
* Adapt tests.yml
* Remove added white space
* Adapt tests.yml
* Adapt tests.yml
* Add dependencies to unit test name
* Adapt unit test matrix
* Adapt unit test matrix
* Adapt unit test matrix
* Adapt unit test matrix
* Update tests.yml
* Create separate tests where necessary
* Fix skip
* Adapt tests
* Add cpu-remote-inference Docker image
* Add web lfqa pipeline as an example for cpu-remote-inference Docker image
* WebRetriever must have document_store attribute
* Add cpu-remote-inference-latest
* Add image testing in CI
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Co-authored-by: Silvano Cerza <silvanocerza@gmail.com>
