1 files changed, 71 insertions, 0 deletions
diff --git a/rag/main.py b/rag/main.py
new file mode 100644
index 0000000..221adfa
--- /dev/null
+++ b/rag/main.py
@@ -0,0 +1,71 @@
+import sys
+import argparse
+from pathlib import Path
+from rag.ingest import start_ingest
+from rag.search import search_hybrid, vec_search
+from rag.db import get_db
+# your Docling chunker imports…
+
+def main():
+    ap = argparse.ArgumentParser(prog="rag")
+    sub = ap.add_subparsers(dest="cmd", required=True)
+
+    # ingest
+    ap_ing = sub.add_parser("ingest", help="Parse, chunk, embed, and index a file into a collection")
+    ap_ing.add_argument("--file", required=True, help="Path to PDF/TXT to ingest")
+    ap_ing.set_defaults(func=cmd_ingest)
+
+    # query
+    ap_q = sub.add_parser("query", help="Query a collection")
+    ap_q.add_argument("--query", required=True, help="User query text")
+    ap_q.add_argument("--simple", action="store_true", help="Vector-only search (skip reranker)")
+    ap_q.add_argument("--mmr", action="store_true", help="Apply MMR after CE")
+    ap_q.add_argument("--mmr-lambda", type=float, default=0.7)
+    ap_q.add_argument("--k-vec", type=int, default=50)
+    ap_q.add_argument("--k-bm25", type=int, default=50)
+    ap_q.add_argument("--k-ce", type=int, default=30)
+    ap_q.add_argument("--k-final", type=int, default=10)
+    ap_q.set_defaults(func=cmd_query)
+
+    args = ap.parse_args()
+    args.func(args)
+
+
+if __name__ == "__main__":
+    main()
+
+
+
+
+def cmd_ingest(args):
+    path = Path(args.file)
+
+    if not path.exists():
+        print(f"File not found: {path}", file=sys.stderr)
+        sys.exit(1)
+
+
+    db = get_db()
+    stats = start_ingest(db,path)
+    print(f"Ingested file={args.file} :: {stats}")
+
+def cmd_query(args):
+
+    db = get_db()
+    if args.simple:
+        results = vec_search(db,  args.query, k=args.k_final)
+    else:
+        results = search_hybrid(
+            db, args.query,
+            k_vec=args.k_vec,
+            k_bm25=args.k_bm25,
+            k_ce=args.k_ce,
+            k_final=args.k_final,
+            use_mmr=args.mmr,
+            mmr_lambda=args.mmr_lambda,
+        )
+
+    for rid, txt, score in results:
+        print(f"[{rid:05d}] score={score:.3f}\n{txt[:400]}...\n")
+
+    db.close()