haystack/memory-embedding-retriever-dde22dedc83d1603.yaml at 35788a2d060d58b901b8d10237f23273399998e5 - haystack - Gitea: Git with a cup of tea

yujunjun/haystack

mirror of https://github.com/deepset-ai/haystack.git synced 2025-07-22 00:11:14 +00:00

Stefano Fiorucci 2edf85f739

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

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

2023-09-08 15:52:48 +02:00

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   - |
     Rename `MemoryRetriever` to `MemoryBM25Retriever`
     Add `MemoryEmbeddingRetriever`, which takes as input a query embedding and
     retrieves the most relevant Documents from a `MemoryDocumentStore`.