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### Summary Agentic search <img width="1149" height="1575" alt="image" src="https://github.com/user-attachments/assets/bce9a3e7-0517-4fb2-80a2-5d2a81a4da78" /> --------- Co-authored-by: Yingfeng Zhang <yingfeng.zhang@gmail.com>
32 lines
1.1 KiB
Python
32 lines
1.1 KiB
Python
#
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# Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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from .tree_structured_query_decomposition_retrieval import TreeStructuredQueryDecompositionRetrieval as DeepResearcher
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from .harness.config import THINKING_MODES, get_mode
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from .harness.types import RouteDecision, ExecutionStrategy, ClaimTarget, WorkflowPlan, SufficiencyVerdict
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__all__ = [
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"DeepResearcher",
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"THINKING_MODES",
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"get_mode",
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"RouteDecision",
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"ExecutionStrategy",
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"ClaimTarget",
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"WorkflowPlan",
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"SufficiencyVerdict",
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]
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