38 lines
935 B
Python
38 lines
935 B
Python
"""Qdrant 向量知识库模块 (M6)。
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公共 API:
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- VectorStore: Qdrant 封装（init / upsert / query / info / count）
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- SearchFilter / SearchResult / CollectionInfo: 数据模型
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- make_qdrant_client: 工厂（内存/本地文件/远程 HTTP）
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- ingest_all_embeddings / search_news / get_collection_info: 管道
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"""
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from vectorstore.client import (
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DEFAULT_COLLECTION,
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DEFAULT_VECTOR_DIM,
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VectorStore,
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make_qdrant_client,
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)
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from vectorstore.models import CollectionInfo, SearchFilter, SearchResult
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from vectorstore.pipeline import (
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get_collection_info,
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ingest_all_embeddings,
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search_news,
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)
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__all__ = [
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# 客户端
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"DEFAULT_COLLECTION",
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"DEFAULT_VECTOR_DIM",
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"VectorStore",
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"make_qdrant_client",
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# 模型
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"CollectionInfo",
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"SearchFilter",
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"SearchResult",
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# 管道
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"get_collection_info",
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"ingest_all_embeddings",
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"search_news",
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]
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