diff --git a/libs/community/langchain_community/embeddings/jina.py b/libs/community/langchain_community/embeddings/jina.py
index dc66409e60c..7c50faf46b1 100644
--- a/libs/community/langchain_community/embeddings/jina.py
+++ b/libs/community/langchain_community/embeddings/jina.py
@@ -1,4 +1,7 @@
+import base64
+from os.path import exists
 from typing import Any, Dict, List, Optional
+from urllib.parse import urlparse
 
 import requests
 from langchain_core.embeddings import Embeddings
@@ -8,6 +11,18 @@ from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env
 JINA_API_URL: str = "https://api.jina.ai/v1/embeddings"
 
 
+def is_local(url: str) -> bool:
+    url_parsed = urlparse(url)
+    if url_parsed.scheme in ("file", ""):  # Possibly a local file
+        return exists(url_parsed.path)
+    return False
+
+
+def get_bytes_str(file_path: str) -> str:
+    with open(file_path, "rb") as image_file:
+        return base64.b64encode(image_file.read()).decode("utf-8")
+
+
 class JinaEmbeddings(BaseModel, Embeddings):
     """Jina embedding models."""
 
@@ -40,10 +55,10 @@ class JinaEmbeddings(BaseModel, Embeddings):
         values["session"] = session
         return values
 
-    def _embed(self, texts: List[str]) -> List[List[float]]:
+    def _embed(self, input: Any) -> List[List[float]]:
         # Call Jina AI Embedding API
         resp = self.session.post(  # type: ignore
-            JINA_API_URL, json={"input": texts, "model": self.model_name}
+            JINA_API_URL, json={"input": input, "model": self.model_name}
         ).json()
         if "data" not in resp:
             raise RuntimeError(resp["detail"])
@@ -73,3 +88,18 @@ class JinaEmbeddings(BaseModel, Embeddings):
             Embeddings for the text.
         """
         return self._embed([text])[0]
+
+    def embed_images(self, uris: List[str]) -> List[List[float]]:
+        """Call out to Jina's image embedding endpoint.
+        Args:
+            uris: The list of uris to embed.
+        Returns:
+            List of embeddings, one for each text.
+        """
+        input = []
+        for uri in uris:
+            if is_local(uri):
+                input.append({"bytes": get_bytes_str(uri)})
+            else:
+                input.append({"url": uri})
+        return self._embed(input)