From bc370b861ca74f92ce8117a9b5aef75324e6622f Mon Sep 17 00:00:00 2001
From: jlonge4 <josh.longenecker1@gmail.com>
Date: Thu, 23 Nov 2023 23:10:56 -0500
Subject: [PATCH] reno & black

---
 haystack/nodes/retriever/_embedding_encoder.py            | 8 +++-----
 .../aws-bedrock-embedding-encoder-a978884c1a2c8237.yaml   | 4 ++++
 2 files changed, 7 insertions(+), 5 deletions(-)
 create mode 100644 releasenotes/notes/aws-bedrock-embedding-encoder-a978884c1a2c8237.yaml

diff --git a/haystack/nodes/retriever/_embedding_encoder.py b/haystack/nodes/retriever/_embedding_encoder.py
index ceb55e9a9f..7f8bc9d159 100644
--- a/haystack/nodes/retriever/_embedding_encoder.py
+++ b/haystack/nodes/retriever/_embedding_encoder.py
@@ -451,11 +451,8 @@ def embed(self, text: str) -> np.ndarray:
         input_body["inputText"] = text
         body = json.dumps(input_body)
         response = self.client.invoke_model(
-                body=body,
-                modelId=self.model,
-                accept="application/json",
-                contentType="application/json",
-            )
+            body=body, modelId=self.model, accept="application/json", contentType="application/json"
+        )
 
         response_body = json.loads(response.get("body").read())
         return np.array(response_body.get("embedding"))
@@ -487,6 +484,7 @@ def train(
     def save(self, save_dir: Union[Path, str]):
         raise NotImplementedError(f"Saving is not implemented for {self.__class__}")
 
+
 _EMBEDDING_ENCODERS: Dict[str, Callable] = {
     "farm": _DefaultEmbeddingEncoder,
     "transformers": _DefaultEmbeddingEncoder,
diff --git a/releasenotes/notes/aws-bedrock-embedding-encoder-a978884c1a2c8237.yaml b/releasenotes/notes/aws-bedrock-embedding-encoder-a978884c1a2c8237.yaml
new file mode 100644
index 0000000000..caa1f479b8
--- /dev/null
+++ b/releasenotes/notes/aws-bedrock-embedding-encoder-a978884c1a2c8237.yaml
@@ -0,0 +1,4 @@
+---
+features:
+  - |
+    Adding Bedrock Embeddings Encoder to use as a retriever.