From bca976448e33efee36eac9ed631c1c20953deba3 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=D0=A0=D0=B8=D0=BD=D0=B0=D1=80=20=D0=9C=D0=B8=D1=80=D0=B7?= =?UTF-8?q?=D0=B0=D0=B3=D0=B8=D1=82=D0=BE=D0=B2?= Date: Tue, 16 Jun 2026 11:01:05 +0000 Subject: [PATCH] Use real Qdrant client integration for RAG memory: update main.py --- main.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/main.py b/main.py index b55280c..91987a6 100644 --- a/main.py +++ b/main.py @@ -11,7 +11,8 @@ from langchain_core.tools import tool from langchain_ollama import ChatOllama, OllamaEmbeddings from langchain_qdrant import QdrantVectorStore 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_COLLECTION = os.getenv("QDRANT_COLLECTION", "rag_memory")