From 82c23717b0301bb4cccd79bb742457b8d9dc51ad Mon Sep 17 00:00:00 2001 From: zhouchengrong Date: Fri, 8 Nov 2024 14:34:32 +0800 Subject: [PATCH] =?UTF-8?q?feat=20=20=20=20design=E7=9B=B8=E5=85=B3?= =?UTF-8?q?=E6=A8=A1=E5=9E=8B=E8=BF=81=E7=A7=BB4090=E6=B5=8B=E8=AF=95=20fi?= =?UTF-8?q?x?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- app/service/search_image_with_text/service.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/app/service/search_image_with_text/service.py b/app/service/search_image_with_text/service.py index 2274c51..35c5955 100644 --- a/app/service/search_image_with_text/service.py +++ b/app/service/search_image_with_text/service.py @@ -18,7 +18,7 @@ client = chromadb.Client(Settings(is_persistent=True, persist_directory="/vector # client = chromadb.Client(Settings(is_persistent=True, persist_directory="D:/workspace/AiDLab/vector_db")) # 创建集合 # embedding_fn = OllamaEmbeddingFunction(url="http://localhost:11434/api/embeddings", model_name="mxbai-embed-large") -embedding_fn = OllamaEmbeddingFunction(url="http://10.1.1.240:11434/api/embeddings", model_name="mxbai-embed-large") +embedding_fn = OllamaEmbeddingFunction(url="http://10.1.1.243:11434/api/embeddings", model_name="mxbai-embed-large") # def create_collection():