6122583009
90%

Ran 08 Sep 2023 02:02PM UTC

Jobs 10

Files 260

Run time 14s

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Committed 08 Sep 2023 01:52PM UTC coverage: 48.909% (+0.09%) from 48.824%

Build # 6122583009

Build Type

push

github

Committed by

web-flow

Commit Message

`MemoryEmbeddingRetriever` (2.0) (#5726)

* MemoryDocumentStore - Embedding retrieval draft

* add release notes

* fix mypy

* better comment

* improve return_embeddings handling

* MemoryEmbeddingRetriever - first draft

* address PR comments

* release note

* update docstrings

* update docstrings

* incorporated feeback

* add return_embedding to __init__

* rm leftover docstring

---------

Co-authored-by: Daria Fokina <daria.fokina@deepset.ai>

Run Details

11834 of 24196 relevant lines covered (48.91%)

2.56 hits per line

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Lines	Coverage	∆	File
1	98.81	-1.19%	preview/components/retrievers/memory.py

Jobs

ID	Job ID	Ran	Files	Coverage
1	modeling - 6122583009.1	08 Sep 2023 02:02PM UTC	260	19.71	GitHub Action Run
2	cli - 6122583009.2	08 Sep 2023 02:02PM UTC	260	19.39	GitHub Action Run
3	others - 6122583009.3	08 Sep 2023 02:03PM UTC	260	21.77	GitHub Action Run
4	document_stores - 6122583009.4	08 Sep 2023 02:03PM UTC	260	24.77	GitHub Action Run
5	prompt - 6122583009.5	08 Sep 2023 02:05PM UTC	260	24.2	GitHub Action Run
6	preview - 6122583009.6	08 Sep 2023 02:04PM UTC	260	25.31	GitHub Action Run
7	agents - 6122583009.7	08 Sep 2023 02:04PM UTC	260	22.01	GitHub Action Run
8	pipelines - 6122583009.8	08 Sep 2023 02:04PM UTC	260	23.45	GitHub Action Run
9	utils - 6122583009.9	08 Sep 2023 02:03PM UTC	260	19.87	GitHub Action Run
10	nodes - 6122583009.10	08 Sep 2023 02:05PM UTC	260	30.67	GitHub Action Run

deepset-ai / haystack / 6122583009
90%

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deepset-ai / haystack / 6122583009 90%

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deepset-ai / haystack / 6122583009
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