Create vector_store.py

vector_store.py

@@ -0,0 +1,17 @@
+import faiss
+import numpy as np
+
+# demo embeddings
+INDEX = faiss.IndexFlatL2(384)
+DOCS = []
+
+def semantic_search(query: str):
+    # placeholder demo
+    return [
+        {
+            "document": "UAP Analysis Memo",
+            "agency": "DIA",
+            "year": 2010,
+            "excerpt": "Unidentified aerial phenomena..."
+        }
+    ]