Ai/rag/__init__.py

"""
ماژول RAG — پایگاه دانش CropLogic
فاز یک: Qdrant به‌عنوان vector store
"""

from .chat import chat_rag_stream
from .chunker import chunk_text, chunk_texts
from .client import get_qdrant_client
from .config import load_rag_config
from .embedding import embed_single, embed_texts
from .ingest import ingest, load_sources
from .retrieve import search_with_query
from .vector_store import QdrantVectorStore

__all__ = [
    "chat_rag_stream",
    "chunk_text",
    "chunk_texts",
    "embed_single",
    "embed_texts",
    "get_qdrant_client",
    "ingest",
    "load_rag_config",
    "load_sources",
    "QdrantVectorStore",
    "search_with_query",
]