feat: solution for 'Повторный экзамен: FAQ-бот — ChromaDB + один MCP-tool'

src/embeddings.py

@@ -0,0 +1,14 @@
+from langchain_ollama import OllamaEmbeddings
+from src.config import settings
+
+# Instantiate the Ollama embeddings once for reuse
+ollama_embeddings = OllamaEmbeddings(
+    model=settings.ollama_embed_model,
+    base_url=f"{settings.ollama_host}:{settings.ollama_port}"
+)
+
+def get_embedding(text: str):
+    """
+    Return the embedding vector for a single text string.
+    """
+    return ollama_embeddings.embed_query(text)