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community: BM25Retriever preservation of document id (#27019)

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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>
This commit is contained in:
Asi Greenholts
2024-12-04 02:36:00 +02:00
committed by GitHub
parent a009249369
commit d34bf78f3b
2 changed files with 54 additions and 2 deletions
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17
libs/community/langchain_community/retrievers/bm25.py
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@@ -33,6 +33,7 @@ class BM25Retriever(BaseRetriever):
cls,
texts: Iterable[str],
metadatas: Optional[Iterable[dict]] = None,
ids: Optional[Iterable[str]] = None,
bm25_params: Optional[Dict[str, Any]] = None,
preprocess_func: Callable[[str], List[str]] = default_preprocessing_func,
**kwargs: Any,
@@ -42,6 +43,7 @@ class BM25Retriever(BaseRetriever):
Args:
texts: A list of texts to vectorize.
metadatas: A list of metadata dicts to associate with each text.
ids: A list of ids to associate with each text.
bm25_params: Parameters to pass to the BM25 vectorizer.
preprocess_func: A function to preprocess each text before vectorization.
**kwargs: Any other arguments to pass to the retriever.
@@ -61,7 +63,15 @@ class BM25Retriever(BaseRetriever):
bm25_params = bm25_params or {}
vectorizer = BM25Okapi(texts_processed, **bm25_params)
metadatas = metadatas or ({} for _ in texts)
docs = [Document(page_content=t, metadata=m) for t, m in zip(texts, metadatas)]
if ids:
docs = [
Document(page_content=t, metadata=m, id=i)
for t, m, i in zip(texts, metadatas, ids)
]
else:
docs = [
Document(page_content=t, metadata=m) for t, m in zip(texts, metadatas)
]
return cls(
vectorizer=vectorizer, docs=docs, preprocess_func=preprocess_func, **kwargs
)
@@ -86,11 +96,14 @@ class BM25Retriever(BaseRetriever):
Returns:
A BM25Retriever instance.
"""
texts, metadatas = zip(*((d.page_content, d.metadata) for d in documents))
texts, metadatas, ids = zip(
*((d.page_content, d.metadata, d.id) for d in documents)
)
return cls.from_texts(
texts=texts,
bm25_params=bm25_params,
metadatas=metadatas,
ids=ids,
preprocess_func=preprocess_func,
**kwargs,
)