16 Commits

Author SHA1 Message Date
Sowmiya Jaganathan
c4fff19018
Supported Highlighting in Elasticsearch (#1930)
* Supported Highlighting

* Review changes

* add example to docstrings

* Add latest docstring and tutorial changes

* Add latest docstring and tutorial changes

Co-authored-by: sowmiya-emplay <sowmiya.j@emplay.net>
Co-authored-by: Thomas Stadelmann <thomas.stadelmann@deepset.ai>
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: tstadel <60758086+tstadel@users.noreply.github.com>
2022-01-26 17:35:33 +01:00
MichelBartels
3e4dbbb32c
Align similarity scores across document stores (#1967)
* 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


Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
2022-01-12 19:28:20 +01:00
Mathew Kuriakose
a44b6c18c0
Unify vector_dim and embedding_dim parameter in Document Store (#1922)
* 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

Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: bogdankostic <bogdankostic@web.de>
2022-01-10 18:10:32 +01:00
bogdankostic
5e36988b31
Support Tables in all DocumentStores (#1744)
* 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

Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
2021-11-17 16:41:04 +01:00
Julian Risch
892ce4a760
Make weaviate more compliant to other doc stores (UUIDs and dummy embedddings) (#1656)
* 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>
2021-11-04 09:27:12 +01:00
Lalit Pagaria
e5b4b62d75
Add CI for windows runner (#1458)
* 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>
2021-10-29 10:22:28 +02:00
Sara Zan
13510aa753
Refactoring of the haystack package (#1624)
* 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>
2021-10-25 15:50:23 +02:00
bogdankostic
51acf779f2
Add TableTextRetriever (#1529)
* first draft / notes on new primitives

* wip label / feedback refactor

* rename doc.text -> doc.content. add doc.content_type

* add datatype for content

* remove faq_question_field from ES and weaviate. rename text_field -> content_field in docstores. update tutorials for content field

* update converters for . Add warning for empty

* renam label.question -> label.query. Allow sorting of Answers.

* WIP primitives

* update ui/reader for new Answer format

* Improve Label. First refactoring of MultiLabel. Adjust eval code

* fixed workflow conflict with introducing new one (#1472)

* Add latest docstring and tutorial changes

* make add_eval_data() work again

* fix reader formats. WIP fix _extract_docs_and_labels_from_dict

* fix test reader

* Add latest docstring and tutorial changes

* fix another test case for reader

* fix mypy in farm reader.eval()

* fix mypy in farm reader.eval()

* WIP ORM refactor

* Add latest docstring and tutorial changes

* fix mypy weaviate

* make label and multilabel dataclasses

* bump mypy env in CI to python 3.8

* WIP refactor Label ORM

* WIP refactor Label ORM

* simplify tests for individual doc stores

* WIP refactoring markers of tests

* test alternative approach for tests with existing parametrization

* WIP refactor ORMs

* 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

* add dataclasses-json dependency. adjust ORM to just store JSON repr

* ignore type as dataclasses_json seems to miss functionality here

* update readme and contributing.md

* update contributing

* adjust example

* fix duplicate doc handling for custom index

* Add latest docstring and tutorial changes

* fix some ORM issues. fix get_all_labels_aggregated.

* update drop flags where get_all_labels_aggregated() was used before

* Add latest docstring and tutorial changes

* add to_json(). add + fix tests

* fix no_answer handling in label / multilabel

* fix duplicate docs in memory doc store. change primary key for sql doc table

* fix mypy issues

* fix mypy issues

* haystack/retriever/base.py

* fix test_write_document_meta[elastic]

* fix test_elasticsearch_custom_fields

* fix test_labels[elastic]

* fix crawler

* fix converter

* fix docx converter

* fix preprocessor

* fix test_utils

* fix tfidf retriever. fix selection of docstore in tests with multiple fixtures / parameterizations

* Add latest docstring and tutorial changes

* fix crawler test. fix ocrconverter attribute

* fix test_elasticsearch_custom_query

* fix generator pipeline

* fix ocr converter

* fix ragenerator

* Add latest docstring and tutorial changes

* fix test_load_and_save_yaml for elasticsearch

* fixes for pipeline tests

* fix faq pipeline

* fix pipeline tests

* Add latest docstring and tutorial changes

* Add MultimodalRetriever

* Add latest docstring and tutorial changes

* fix weaviate

* Add latest docstring and tutorial changes

* trigger CI

* satisfy mypy

* Add latest docstring and tutorial changes

* satisfy mypy

* Add latest docstring and tutorial changes

* trigger CI

* fix question generation test

* fix ray. fix Q-generation

* fix translator test

* satisfy mypy

* wip refactor feedback rest api

* fix rest api feedback endpoint

* fix doc classifier

* remove relation of Labels -> Docs in SQL ORM

* fix faiss/milvus tests

* fix doc classifier test

* fix eval test

* fixing eval issues

* Add latest docstring and tutorial changes

* fix mypy

* WIP replace dataclasses-json with manual serialization

* Add methods to MultimodalRetriever

* Add latest docstring and tutorial changes

* revert to dataclass-json serialization for now. remove debug prints.

* update docstrings

* fix extractor. fix Answer Span init

* fix api test

* keep meta data of answers in reader.run()

* fix meta handling

* adress review feedback

* Add latest docstring and tutorial changes

* make document=None for open domain labels

* add import

* fix print utils

* fix rest api

* Add methods and tests

* Add latest docstring and tutorial changes

* Fix mypy

* Add latest docstring and tutorial changes

* Add type hints and doc strings

* Make use of initialize_device_settings

* Move serialization of pd.DataFrame to schema.py

* Fix mypy

* Adapt Document's from_dict method

* Update docstrings

* Add latest docstring and tutorial changes

* Fix mypy

* Fix mypy

* Fix Document's from_dict method

* Fix Document's to_dict method

* Change handling of table metadata

* Add latest docstring and tutorial changes

* Change naming from Multimodal to TableText

* Turn off tokenizers_parallelism in retriever tests

* Add latest docstring and tutorial changes

* Remove turning off tokenizers_parallelism in retriever tests

* Adapt convert_es_hit_to_document

* Change embed_surrounding_context to embed_meta_fields

* Add latest docstring and tutorial changes

* Add check if torch.distributed is available

* Set n_gpu to 0 in training test

* Set HIP_LAUNCH_BLOCKING to 1

* Set HIP_LAUNCH_BLOCKING to "1"

* Set use_gpu to False

* Use DataParallel only if more than one device

* Remove --find-links=https://download.pytorch.org/whl/torch_stable.html

Co-authored-by: Malte Pietsch <malte.pietsch@deepset.ai>
Co-authored-by: Markus Paff <markuspaff.mp@gmail.com>
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
2021-10-25 12:27:02 +02:00
Lalit Pagaria
5dbd899a93
Experimental changes to support Milvus 2.x (#1473)
* 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>
2021-10-25 10:39:48 +02:00
Malte Pietsch
4a6c9302b3
Redesign primitives - Document, Answer, Label (#1398)
* first draft / notes on new primitives

* wip label / feedback refactor

* rename doc.text -> doc.content. add doc.content_type

* add datatype for content

* remove faq_question_field from ES and weaviate. rename text_field -> content_field in docstores. update tutorials for content field

* update converters for . Add warning for empty

* renam label.question -> label.query. Allow sorting of Answers.

* WIP primitives

* update ui/reader for new Answer format

* Improve Label. First refactoring of MultiLabel. Adjust eval code

* fixed workflow conflict with introducing new one (#1472)

* Add latest docstring and tutorial changes

* make add_eval_data() work again

* fix reader formats. WIP fix _extract_docs_and_labels_from_dict

* fix test reader

* Add latest docstring and tutorial changes

* fix another test case for reader

* fix mypy in farm reader.eval()

* fix mypy in farm reader.eval()

* WIP ORM refactor

* Add latest docstring and tutorial changes

* fix mypy weaviate

* make label and multilabel dataclasses

* bump mypy env in CI to python 3.8

* WIP refactor Label ORM

* WIP refactor Label ORM

* simplify tests for individual doc stores

* WIP refactoring markers of tests

* test alternative approach for tests with existing parametrization

* WIP refactor ORMs

* 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

* add dataclasses-json dependency. adjust ORM to just store JSON repr

* ignore type as dataclasses_json seems to miss functionality here

* update readme and contributing.md

* update contributing

* adjust example

* fix duplicate doc handling for custom index

* Add latest docstring and tutorial changes

* fix some ORM issues. fix get_all_labels_aggregated.

* update drop flags where get_all_labels_aggregated() was used before

* Add latest docstring and tutorial changes

* add to_json(). add + fix tests

* fix no_answer handling in label / multilabel

* fix duplicate docs in memory doc store. change primary key for sql doc table

* fix mypy issues

* fix mypy issues

* haystack/retriever/base.py

* fix test_write_document_meta[elastic]

* fix test_elasticsearch_custom_fields

* fix test_labels[elastic]

* fix crawler

* fix converter

* fix docx converter

* fix preprocessor

* fix test_utils

* fix tfidf retriever. fix selection of docstore in tests with multiple fixtures / parameterizations

* Add latest docstring and tutorial changes

* fix crawler test. fix ocrconverter attribute

* fix test_elasticsearch_custom_query

* fix generator pipeline

* fix ocr converter

* fix ragenerator

* Add latest docstring and tutorial changes

* fix test_load_and_save_yaml for elasticsearch

* fixes for pipeline tests

* fix faq pipeline

* fix pipeline tests

* Add latest docstring and tutorial changes

* fix weaviate

* Add latest docstring and tutorial changes

* trigger CI

* satisfy mypy

* Add latest docstring and tutorial changes

* satisfy mypy

* Add latest docstring and tutorial changes

* trigger CI

* fix question generation test

* fix ray. fix Q-generation

* fix translator test

* satisfy mypy

* wip refactor feedback rest api

* fix rest api feedback endpoint

* fix doc classifier

* remove relation of Labels -> Docs in SQL ORM

* fix faiss/milvus tests

* fix doc classifier test

* fix eval test

* fixing eval issues

* Add latest docstring and tutorial changes

* fix mypy

* WIP replace dataclasses-json with manual serialization

* Add latest docstring and tutorial changes

* revert to dataclass-json serialization for now. remove debug prints.

* update docstrings

* fix extractor. fix Answer Span init

* fix api test

* keep meta data of answers in reader.run()

* fix meta handling

* adress review feedback

* Add latest docstring and tutorial changes

* make document=None for open domain labels

* add import

* fix print utils

* fix rest api

* adress review feedback

* Add latest docstring and tutorial changes

* fix mypy

Co-authored-by: Markus Paff <markuspaff.mp@gmail.com>
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
2021-10-13 14:23:23 +02:00
Malte Pietsch
183fd5ae5a
Simplify tests & allow running on individual doc stores (#1487)
* 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>
2021-09-27 10:52:07 +02:00
vblagoje
02fc4c7783
Improve document stores unit test parametrization (#1202) 2021-06-22 16:08:23 +02:00
vblagoje
2a5882578a
Add Longform-QA (LFQA), Seq2SeqGenerator for generative QA and Retribert Retriever (#1086)
* Integrate LFQA with Haystack

* Integrate LFQA with Haystack - unit tests

* Properly initialize conftest default value for vector_dim

* Update PR after inital feedback

* Fix conftest.py import

* Seq2SeqGenerator uses Callables instead of subclasses for custom model input

* Update docstring

* Fix Callable use

* Add LFQA tutorials

* Improve type error reporting for invalid input converter Callable

* Generate docstrings

* Format comments in tutorial script

* Generate tutorial md

* Add usage page

Co-authored-by: Malte Pietsch <malte.pietsch@deepset.ai>
Co-authored-by: brandenchan <brandenchan@icloud.com>
2021-06-14 17:53:43 +02:00
Timo Moeller
5d2b16f3cc
Update farm version (#936)
* Update farm version

* Add new DPR loading, fix dpr param name

* Add QA model confidence as answer probability, fix prams in test
2021-04-01 18:23:05 +02:00
Tanay Soni
07907f9eac
Add support for indexing pipelines (#816) 2021-02-16 16:24:28 +01:00
oryx1729
4059805d89
Fix ElasticsearchDocumentStore.query_by_embedding() (#823) 2021-02-12 14:57:06 +01:00