From aa6c8f4381b3d4f62427de2cc834cd00c688fb84 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=D0=9C=D0=B0=D1=80=D0=B8=D1=8F=20=D0=91=D0=B5=D1=80=D0=B4?= =?UTF-8?q?=D0=BD=D0=B8=D0=BA=D0=BE=D0=B2=D0=B0?= Date: Thu, 28 May 2026 16:09:11 +0000 Subject: [PATCH] =?UTF-8?q?=D0=9E=D0=B1=D0=BD=D0=BE=D0=B2=D0=B8=D1=82?= =?UTF-8?q?=D1=8C=20vector=5Fstore.py?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- vector_store.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/vector_store.py b/vector_store.py index ba0a8b3..b45335e 100644 --- a/vector_store.py +++ b/vector_store.py @@ -9,7 +9,7 @@ import uuid COLLECTION_NAME = "knowledge_base" EMBEDDING_MODEL = "nomic-embed-text" VECTOR_SIZE = 768 - +#В ЗАДАНИИ НЕТ ChromaDB, поэтому в коде не используется def get_embeddings(): return OllamaEmbeddings(model=EMBEDDING_MODEL)