Initial project setup

backend/vector_store.py

@@ -0,0 +1,14 @@
+import numpy as np
+import faiss
+from backend.config import Config
+
+class VectorDB:
+    def __init__(self):
+        self.index = faiss.IndexFlatL2(768)  # Cohere embedding dim
+        
+    def add_vectors(self, ids, embeddings):
+        self.index.add(np.array(embeddings).astype('float32'))
+    
+    def search(self, query_embedding, k=5):
+        distances, indices = self.index.search(np.array([query_embedding]), k)
+        return indices[0]