Files
Ai/rag/__init__.py
T
sajad-dev 197f70ee12 Add Qdrant and ChromaDB support to the project
- Added Qdrant service to both docker-compose files for production and development.
- Updated environment variables in .env.example and settings.py to include Qdrant configuration.
- Included necessary dependencies for Qdrant and ChromaDB in requirements.txt.
- Updated .gitignore to exclude ChromaDB data files.
2026-02-27 19:37:02 +03:30

26 lines
627 B
Python

"""
ماژول RAG — پایگاه دانش CropLogic
فاز یک: Qdrant به‌عنوان vector store
"""
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__ = [
"chunk_text",
"chunk_texts",
"embed_single",
"embed_texts",
"get_qdrant_client",
"ingest",
"load_rag_config",
"load_sources",
"QdrantVectorStore",
"search_with_query",
]