vector_store.py

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..."
        }
    ]