diff --git a/lightrag/kg/faiss_impl.py b/lightrag/kg/faiss_impl.py
index d0ef6ed0..f244c288 100644
--- a/lightrag/kg/faiss_impl.py
+++ b/lightrag/kg/faiss_impl.py
@@ -15,7 +15,12 @@ if not pm.is_installed("faiss"):
     pm.install("faiss")
 
 import faiss  # type: ignore
-from threading import Lock as ThreadLock
+from .shared_storage import (
+    get_storage_lock,
+    get_update_flag,
+    set_all_update_flags,
+    is_multiprocess,
+)
 
 
 @final
@@ -45,29 +50,43 @@ class FaissVectorDBStorage(BaseVectorStorage):
         self._max_batch_size = self.global_config["embedding_batch_num"]
         # Embedding dimension (e.g. 768) must match your embedding function
         self._dim = self.embedding_func.embedding_dim
-        self._storage_lock = ThreadLock()
-
+        
         # Create an empty Faiss index for inner product (useful for normalized vectors = cosine similarity).
         # If you have a large number of vectors, you might want IVF or other indexes.
         # For demonstration, we use a simple IndexFlatIP.
         self._index = faiss.IndexFlatIP(self._dim)
-
         # Keep a local store for metadata, IDs, etc.
         # Maps <int faiss_id> → metadata (including your original ID).
         self._id_to_meta = {}
 
-        # Attempt to load an existing index + metadata from disk
-        with self._storage_lock:
-            self._load_faiss_index()
+        self._load_faiss_index()
 
-    def _get_index(self):
+    async def initialize(self):
+        """Initialize storage data"""
+        # Get the update flag for cross-process update notification
+        self.storage_updated = await get_update_flag(self.namespace)
+        # Get the storage lock for use in other methods
+        self._storage_lock = get_storage_lock()
+
+    async def _get_index(self):
         """Check if the shtorage should be reloaded"""
+        # Acquire lock to prevent concurrent read and write
+        with self._storage_lock:
+            # Check if storage was updated by another process
+            if (is_multiprocess and self.storage_updated.value) or \
+                (not is_multiprocess and self.storage_updated):
+                logger.info(f"Process {os.getpid()} FAISS reloading {self.namespace} due to update by another process")
+                # Reload data
+                self._index = faiss.IndexFlatIP(self._dim)
+                self._id_to_meta = {}
+                self._load_faiss_index()
+                if is_multiprocess:
+                    self.storage_updated.value = False
+                else:
+                    self.storage_updated = False
         return self._index
 
-    async def index_done_callback(self) -> None:
-        with self._storage_lock:
-            self._save_faiss_index()
-
+    
     async def upsert(self, data: dict[str, dict[str, Any]]) -> None:
         """
         Insert or update vectors in the Faiss index.
@@ -135,7 +154,7 @@ class FaissVectorDBStorage(BaseVectorStorage):
             self._remove_faiss_ids(existing_ids_to_remove)
 
         # Step 2: Add new vectors
-        index = self._get_index()
+        index = await self._get_index()
         start_idx = index.ntotal
         index.add(embeddings)
 
@@ -163,7 +182,8 @@ class FaissVectorDBStorage(BaseVectorStorage):
         )
 
         # Perform the similarity search
-        distances, indices = self._get_index().search(embedding, top_k)
+        index = await self._get_index()
+        distances, indices = index().search(embedding, top_k)
 
         distances = distances[0]
         indices = indices[0]
@@ -316,3 +336,33 @@ class FaissVectorDBStorage(BaseVectorStorage):
             logger.warning("Starting with an empty Faiss index.")
             self._index = faiss.IndexFlatIP(self._dim)
             self._id_to_meta = {}
+
+async def index_done_callback(self) -> None:
+        # Check if storage was updated by another process
+        if is_multiprocess and self.storage_updated.value:
+            # Storage was updated by another process, reload data instead of saving
+            logger.warning(f"Storage for FAISS {self.namespace} was updated by another process, reloading...")
+            with self._storage_lock:
+                self._index = faiss.IndexFlatIP(self._dim)
+                self._id_to_meta = {}
+                self._load_faiss_index()
+                self.storage_updated.value = False
+            return False  # Return error
+
+        # Acquire lock and perform persistence
+        async with self._storage_lock:
+            try:
+                # Save data to disk
+                self._save_faiss_index()
+                # Set all update flags to False
+                await set_all_update_flags(self.namespace)
+                # Reset own update flag to avoid self-reloading
+                if is_multiprocess:
+                    self.storage_updated.value = False
+                else:
+                    self.storage_updated = False
+            except Exception as e:
+                logger.error(f"Error saving FAISS index for {self.namespace}: {e}")
+                return False  # Return error
+            
+        return True  # Return success