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community: BM25Retriever preservation of document id (#27019)
Currently this retriever discards document ids --------- Co-authored-by: asi-cider <88270351+asi-cider@users.noreply.github.com> Co-authored-by: Erick Friis <erick@langchain.dev>
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@ -33,6 +33,7 @@ class BM25Retriever(BaseRetriever):
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cls,
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texts: Iterable[str],
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metadatas: Optional[Iterable[dict]] = None,
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ids: Optional[Iterable[str]] = None,
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bm25_params: Optional[Dict[str, Any]] = None,
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preprocess_func: Callable[[str], List[str]] = default_preprocessing_func,
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**kwargs: Any,
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@ -42,6 +43,7 @@ class BM25Retriever(BaseRetriever):
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Args:
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texts: A list of texts to vectorize.
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metadatas: A list of metadata dicts to associate with each text.
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ids: A list of ids to associate with each text.
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bm25_params: Parameters to pass to the BM25 vectorizer.
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preprocess_func: A function to preprocess each text before vectorization.
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**kwargs: Any other arguments to pass to the retriever.
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@ -61,7 +63,15 @@ class BM25Retriever(BaseRetriever):
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bm25_params = bm25_params or {}
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vectorizer = BM25Okapi(texts_processed, **bm25_params)
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metadatas = metadatas or ({} for _ in texts)
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docs = [Document(page_content=t, metadata=m) for t, m in zip(texts, metadatas)]
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if ids:
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docs = [
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Document(page_content=t, metadata=m, id=i)
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for t, m, i in zip(texts, metadatas, ids)
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]
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else:
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docs = [
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Document(page_content=t, metadata=m) for t, m in zip(texts, metadatas)
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]
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return cls(
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vectorizer=vectorizer, docs=docs, preprocess_func=preprocess_func, **kwargs
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)
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@ -86,11 +96,14 @@ class BM25Retriever(BaseRetriever):
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Returns:
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A BM25Retriever instance.
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"""
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texts, metadatas = zip(*((d.page_content, d.metadata) for d in documents))
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texts, metadatas, ids = zip(
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*((d.page_content, d.metadata, d.id) for d in documents)
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)
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return cls.from_texts(
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texts=texts,
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bm25_params=bm25_params,
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metadatas=metadatas,
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ids=ids,
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preprocess_func=preprocess_func,
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**kwargs,
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)
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@ -43,3 +43,42 @@ def test_repr() -> None:
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]
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bm25_retriever = BM25Retriever.from_documents(documents=input_docs)
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assert "I have a pen" not in repr(bm25_retriever)
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@pytest.mark.requires("rank_bm25")
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def test_doc_id() -> None:
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docs_with_ids = [
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Document(page_content="I have a pen.", id="1"),
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Document(page_content="Do you have a pen?", id="2"),
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Document(page_content="I have a bag.", id="3"),
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]
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docs_without_ids = [
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Document(page_content="I have a pen."),
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Document(page_content="Do you have a pen?"),
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Document(page_content="I have a bag."),
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]
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docs_with_some_ids = [
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Document(page_content="I have a pen.", id="1"),
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Document(page_content="Do you have a pen?"),
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Document(page_content="I have a bag.", id="3"),
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]
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bm25_retriever_with_ids = BM25Retriever.from_documents(documents=docs_with_ids)
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bm25_retriever_without_ids = BM25Retriever.from_documents(
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documents=docs_without_ids
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)
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bm25_retriever_with_some_ids = BM25Retriever.from_documents(
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documents=docs_with_some_ids
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)
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for doc in bm25_retriever_with_ids.docs:
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assert doc.id is not None
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for doc in bm25_retriever_without_ids.docs:
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assert doc.id is None
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for doc in bm25_retriever_with_some_ids.docs:
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if doc.page_content == "I have a pen.":
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assert doc.id == "1"
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elif doc.page_content == "Do you have a pen?":
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assert doc.id is None
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elif doc.page_content == "I have a bag.":
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assert doc.id == "3"
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else:
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raise ValueError("Unexpected document")
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