scripts/build_rag_index.py

#!/usr/bin/env python3
"""Build the FAISS + BM25 RAG index from the knowledge base.

Usage:
    python3 scripts/build_rag_index.py

Run this before starting the app, or include it in the Dockerfile.
"""

import logging
import sys
from pathlib import Path

# Ensure project root is on sys.path
project_root = Path(__file__).resolve().parents[1]
sys.path.insert(0, str(project_root))

logging.basicConfig(level=logging.INFO, format="%(levelname)s: %(message)s")

from src.explanation.rag_index_builder import build_index

index, corpus, bm25 = build_index(force_rebuild=True)
print(f"RAG index built successfully: {len(corpus)} documents, {index.ntotal} vectors")