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https://github.com/open-webui/open-webui
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fix/refac: hybrid search
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@ -16,6 +16,8 @@ from open_webui.retrieval.vector.connector import VECTOR_DB_CLIENT
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from open_webui.models.users import UserModel
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from open_webui.models.users import UserModel
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from open_webui.models.files import Files
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from open_webui.models.files import Files
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from open_webui.retrieval.vector.main import GetResult
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from open_webui.env import (
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from open_webui.env import (
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SRC_LOG_LEVELS,
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SRC_LOG_LEVELS,
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OFFLINE_MODE,
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OFFLINE_MODE,
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@ -98,7 +100,7 @@ def get_doc(collection_name: str, user: UserModel = None):
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def query_doc_with_hybrid_search(
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def query_doc_with_hybrid_search(
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collection_name: str,
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collection_name: str,
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collection_data,
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collection_result: GetResult,
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query: str,
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query: str,
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embedding_function,
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embedding_function,
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k: int,
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k: int,
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@ -108,8 +110,8 @@ def query_doc_with_hybrid_search(
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) -> dict:
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) -> dict:
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try:
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try:
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bm25_retriever = BM25Retriever.from_texts(
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bm25_retriever = BM25Retriever.from_texts(
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texts=collection_data.documents[0],
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texts=collection_result.documents[0],
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metadatas=collection_data.metadatas[0],
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metadatas=collection_result.metadatas[0],
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)
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)
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bm25_retriever.k = k
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bm25_retriever.k = k
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@ -135,9 +137,9 @@ def query_doc_with_hybrid_search(
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result = compression_retriever.invoke(query)
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result = compression_retriever.invoke(query)
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distances = [d.metadata.get("score") for d in collection_data]
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distances = [d.metadata.get("score") for d in result]
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documents = [d.page_content for d in collection_data]
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documents = [d.page_content for d in result]
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metadatas = [d.metadata for d in collection_data]
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metadatas = [d.metadata for d in result]
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# retrieve only min(k, k_reranker) items, sort and cut by distance if k < k_reranker
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# retrieve only min(k, k_reranker) items, sort and cut by distance if k < k_reranker
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if k < k_reranker:
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if k < k_reranker:
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@ -146,7 +148,8 @@ def query_doc_with_hybrid_search(
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)
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)
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sorted_items = sorted_items[:k]
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sorted_items = sorted_items[:k]
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distances, documents, metadatas = map(list, zip(*sorted_items))
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distances, documents, metadatas = map(list, zip(*sorted_items))
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collection_data = {
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result = {
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"distances": [distances],
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"distances": [distances],
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"documents": [documents],
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"documents": [documents],
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"metadatas": [metadatas],
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"metadatas": [metadatas],
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@ -154,9 +157,9 @@ def query_doc_with_hybrid_search(
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log.info(
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log.info(
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"query_doc_with_hybrid_search:result "
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"query_doc_with_hybrid_search:result "
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+ f'{collection_data["metadatas"]} {collection_data["distances"]}'
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+ f'{result["metadatas"]} {result["distances"]}'
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)
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)
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return collection_data
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return result
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except Exception as e:
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except Exception as e:
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raise e
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raise e
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@ -279,20 +282,22 @@ def query_collection_with_hybrid_search(
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error = False
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error = False
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# Fetch collection data once per collection sequentially
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# Fetch collection data once per collection sequentially
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# Avoid fetching the same data multiple times later
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# Avoid fetching the same data multiple times later
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collection_data = {}
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collection_results = {}
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for collection_name in collection_names:
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for collection_name in collection_names:
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try:
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try:
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collection_data[collection_name] = VECTOR_DB_CLIENT.get(collection_name=collection_name)
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collection_results[collection_name] = VECTOR_DB_CLIENT.get(
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collection_name=collection_name
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)
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except Exception as e:
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except Exception as e:
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log.exception(f"Failed to fetch collection {collection_name}: {e}")
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log.exception(f"Failed to fetch collection {collection_name}: {e}")
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collection_data[collection_name] = None
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collection_results[collection_name] = None
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for collection_name in collection_names:
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for collection_name in collection_names:
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try:
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try:
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for query in queries:
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for query in queries:
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result = query_doc_with_hybrid_search(
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result = query_doc_with_hybrid_search(
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collection_name=collection_name,
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collection_name=collection_name,
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collection_data=collection_data[collection_name],
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collection_result=collection_results[collection_name],
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query=query,
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query=query,
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embedding_function=embedding_function,
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embedding_function=embedding_function,
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k=k,
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k=k,
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