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Use real Qdrant client integration for RAG memory: update main.py

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Ринар Мирзагитов
2026-06-16 11:01:05 +00:00
parent 9ba475d433
commit bca976448e
1 changed files with 2 additions and 1 deletions
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main.py
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@@ -11,7 +11,8 @@ from langchain_core.tools import tool
from langchain_ollama import ChatOllama, OllamaEmbeddings from langchain_ollama import ChatOllama, OllamaEmbeddings
from langchain_qdrant import QdrantVectorStore from langchain_qdrant import QdrantVectorStore
from langchain_text_splitters import RecursiveCharacterTextSplitter from langchain_text_splitters import RecursiveCharacterTextSplitter
from qdrant_client import QdrantClient, Distance, VectorParams from qdrant_client import QdrantClient
from qdrant_client.models import Distance, VectorParams
QDRANT_URL = os.getenv("QDRANT_URL", "http://localhost:6333") QDRANT_URL = os.getenv("QDRANT_URL", "http://localhost:6333")
QDRANT_COLLECTION = os.getenv("QDRANT_COLLECTION", "rag_memory") QDRANT_COLLECTION = os.getenv("QDRANT_COLLECTION", "rag_memory")