Create memory/vector_store.py

memory/vector_store.py

@@ -0,0 +1,10 @@
+from langchain.vectorstores import FAISS
+from langchain.embeddings import HuggingFaceEmbeddings
+
+
+def create_vector_store(documents):
+    embeddings = HuggingFaceEmbeddings(
+        model_name="sentence-transformers/all-MiniLM-L6-v2"
+    )
+
+    return FAISS.from_documents(documents, embeddings)