From 47818f4f41b6d7dbe31c4fab3e312870bec79709 Mon Sep 17 00:00:00 2001
From: "Brandon Hancock (bhancock_ai)"
 <109994880+bhancockio@users.noreply.github.com>
Date: Mon, 10 Feb 2025 12:48:12 -0500
Subject: [PATCH] updating bedrock docs (#2088)

Co-authored-by: Lorenze Jay <63378463+lorenzejay@users.noreply.github.com>
---
 docs/concepts/memory.mdx | 32 ++++++++++++++++++++++++++++++++
 1 file changed, 32 insertions(+)

diff --git a/docs/concepts/memory.mdx b/docs/concepts/memory.mdx
index cdb1745ee..ae65db290 100644
--- a/docs/concepts/memory.mdx
+++ b/docs/concepts/memory.mdx
@@ -447,6 +447,38 @@ my_crew = Crew(
 )
 ```
 
+### Using Amazon Bedrock embeddings
+
+```python Code
+# Note: Ensure you have installed `boto3` for Bedrock embeddings to work.
+
+import os
+import boto3
+from crewai import Crew, Agent, Task, Process
+
+boto3_session = boto3.Session(
+    region_name=os.environ.get("AWS_REGION_NAME"),
+    aws_access_key_id=os.environ.get("AWS_ACCESS_KEY_ID"),
+    aws_secret_access_key=os.environ.get("AWS_SECRET_ACCESS_KEY")
+)
+
+my_crew = Crew(
+    agents=[...],
+    tasks=[...],
+    process=Process.sequential,
+    memory=True,
+    embedder={
+    "provider": "bedrock",
+        "config":{
+            "session": boto3_session,
+            "model": "amazon.titan-embed-text-v2:0",
+            "vector_dimension": 1024
+        }
+    }
+    verbose=True
+)
+```
+
 ### Adding Custom Embedding Function
 
 ```python Code