Create embeddings.py

embeddings.py

@@ -0,0 +1,8 @@
+from langchain.embeddings import HuggingFaceEmbeddings
+
+# Load Hugging Face model for embedding generation
+embedding_model = HuggingFaceEmbeddings(model_name="sentence-transformers/all-MiniLM-L6-v2")
+
+def get_embedding(text):
+    """Generate embeddings for a given text."""
+    return embedding_model.embed_query(text)