diff --git a/scripts/rag_ingest_resume.py b/scripts/rag_ingest_resume.py
new file mode 100644
index 0000000..04f4bdd
--- /dev/null
+++ b/scripts/rag_ingest_resume.py
@@ -0,0 +1,174 @@
+#!/usr/bin/env python3
+"""
+Ingest JSONL into ChromaDB with resume support.
+- Прерывается по Ctrl+C безопасно
+- При перезапуске продолжает с места останова
+- Не удаляет ничего без спроса
+"""
+import json, os, sys, time, urllib.request, glob, signal
+from chromadb import PersistentClient
+
+EF_URL = "http://localhost:8081/embedding"
+DB_DIR = os.path.expanduser("~/nubes/chroma_db")
+STATE_FILE = os.path.join(DB_DIR, ".ingest_state.txt")
+
+ALL_DIRS = [
+    "~/nubes/data/elsa_jsonl_wi_en",
+    "~/nubes/data/elsa_mdb_jsonl",
+    "~/nubes/data/elsa_mdb_jsonl/ipsvrap",
+    "~/nubes/data/elsa_jsonl_htm_en",
+    "~/nubes/data/elsa_jsonl",
+    "~/nubes/data/elsa_mdb_jsonl/dbsvrfi",
+    "~/nubes/data/elsa_mdb_jsonl/dbsvrfz",
+]
+
+running = True
+
+def handle_sigint(sig, frame):
+    global running
+    print("\n⏳ Graceful stop after current file...")
+    running = False
+
+def embed(texts):
+    for attempt in range(5):
+        try:
+            data = json.dumps({"content": texts}).encode()
+            req = urllib.request.Request(EF_URL, data=data,
+                headers={"Content-Type": "application/json"})
+            with urllib.request.urlopen(req, timeout=120) as resp:
+                body = json.loads(resp.read())
+            if isinstance(body, list):
+                return [item["embedding"][0] for item in body]
+            return body.get("embedding", [])
+        except Exception as e:
+            if attempt < 4:
+                sys.stdout.write(f"R{attempt}")
+                sys.stdout.flush()
+                time.sleep(15)
+            else:
+                raise
+
+def load_state():
+    if os.path.exists(STATE_FILE):
+        with open(STATE_FILE) as f:
+            return set(line.strip() for line in f if line.strip())
+    return set()
+
+def save_state(fpath):
+    os.makedirs(os.path.dirname(STATE_FILE), exist_ok=True)
+    with open(STATE_FILE, "a") as f:
+        f.write(fpath + "\n")
+
+def main():
+    signal.signal(signal.SIGINT, handle_sigint)
+    
+    processed = load_state()
+    
+    # Подключаемся к БД
+    client = PersistentClient(path=DB_DIR)
+    existing = os.path.exists(os.path.join(DB_DIR, "chroma.sqlite3"))
+    
+    if existing:
+        try:
+            collection = client.get_collection("elsa_docs")
+            print(f"DB exists: {collection.count()} docs")
+        except:
+            collection = client.create_collection("elsa_docs")
+            print("Created new collection")
+    else:
+        collection = client.create_collection("elsa_docs")
+        print("Created new ChromaDB")
+    
+    # Собираем все файлы
+    all_files = []
+    for d in ALL_DIRS:
+        path = os.path.expanduser(d)
+        files = sorted(glob.glob(os.path.join(path, "*.jsonl")))
+        all_files.extend(files)
+    
+    pending = [f for f in all_files if f not in processed]
+    print(f"Files: total={len(all_files)}, done={len(processed)}, pending={len(pending)}")
+    
+    if not pending:
+        print("All done.")
+        return
+    
+    total = collection.count()
+    errors = 0
+    
+    for fpath in pending:
+        if not running:
+            print("Stopped by user")
+            break
+        
+        docs, ids = [], []
+        prefix = os.path.basename(os.path.dirname(fpath)) + "_"
+        fname = os.path.basename(fpath)
+        
+        try:
+            with open(fpath) as fh:
+                for line in fh:
+                    try:
+                        d = json.loads(line)
+                        title = d.get("title", "") or d.get("full_title", "")
+                        text = d.get("text", "")
+                        doc = (title + "\n" + text).strip()[:1000]
+                        if len(doc) < 20:
+                            continue
+                        docs.append(doc)
+                        ids.append(f"{prefix}{fname}_{len(docs)}")
+                    except:
+                        continue
+        except Exception as e:
+            print(f"  [ERR] {fname}: {e}")
+            errors += 1
+            save_state(fpath)
+            continue
+        
+        if not docs:
+            save_state(fpath)
+            print(f"  {fname}: empty")
+            continue
+        
+        sys.stdout.write(f"  {fname}: {len(docs)} docs")
+        sys.stdout.flush()
+        
+        ok = True
+        for j in range(0, len(docs), 50):
+            if not running:
+                ok = False
+                break
+            batch_docs = docs[j:j+50]
+            batch_ids = ids[j:j+50]
+            for retry in range(5):
+                try:
+                    embs = embed(batch_docs)
+                    collection.add(ids=batch_ids, documents=batch_docs,
+                        embeddings=embs, metadatas=[{"source": prefix.strip("_")}] * len(batch_docs))
+                    total += len(batch_docs)
+                    sys.stdout.write(".")
+                    sys.stdout.flush()
+                    break
+                except Exception as e:
+                    if retry < 4:
+                        sys.stdout.write(f"R{retry}")
+                        sys.stdout.flush()
+                        time.sleep(20)
+                    else:
+                        sys.stdout.write("X")
+                        sys.stdout.flush()
+                        errors += len(batch_docs)
+            
+            time.sleep(0.2)
+        
+        if ok:
+            save_state(fpath)
+        
+        print(f" total={collection.count()}")
+    
+    print(f"\nTotal: {collection.count()} docs. Errors: {errors}")
+    if pending and not running:
+        print("Restart to continue from where stopped.")
+
+if __name__ == "__main__":
+    main()