sajad-dev
2c42ebe01c
- Removed deprecated user_info files and paths from configuration. - Added user soil data integration in chat context to improve response accuracy. - Updated build_rag_context and chat_rag_stream functions to include sensor_uuid for user-specific data retrieval. - Enhanced load_sources function to load user data from the database. - Implemented filtering in search_with_query and QdrantVectorStore to isolate user data based on sensor_uuid. - Introduced Celery Beat schedule for periodic user data ingestion.
31 lines
800 B
Python
31 lines
800 B
Python
"""
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ماژول RAG — پایگاه دانش CropLogic
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فاز یک: Qdrant بهعنوان vector store
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"""
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from .chat import chat_rag_stream
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from .chunker import chunk_text, chunk_texts
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from .client import get_qdrant_client
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from .config import load_rag_config
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from .embedding import embed_single, embed_texts
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from .ingest import ingest, load_sources
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from .retrieve import search_with_query
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from .user_data import build_user_soil_text, load_user_sources
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from .vector_store import QdrantVectorStore
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__all__ = [
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"chat_rag_stream",
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"chunk_text",
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"chunk_texts",
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"embed_single",
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"embed_texts",
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"get_qdrant_client",
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"ingest",
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"load_rag_config",
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"load_sources",
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"load_user_sources",
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"build_user_soil_text",
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"QdrantVectorStore",
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"search_with_query",
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]
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