diff --git a/content/en/references/configuration.md b/content/en/references/configuration.md
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--- a/content/en/references/configuration.md
+++ b/content/en/references/configuration.md
@@ -90,6 +90,12 @@ This section covers configuration options that are specific to certain AWS servi
 | - | - | - |
 | `BATCH_DOCKER_FLAGS` | `-e TEST_ENV=1337` | Additional flags provided to the batch container. Same restrictions as `LAMBDA_DOCKER_FLAGS`. |
 
+### Bedrock
+
+| Variable | Example Values | Description |
+| - | - | - |
+| `LOCALSTACK_ENABLE_BEDROCK` | `1` | Use the Bedrock provider |
+
 ### BigData (EMR, Athena, Glue)
 
 | Variable | Example Values | Description |
diff --git a/content/en/user-guide/aws/bedrock/index.md b/content/en/user-guide/aws/bedrock/index.md
new file mode 100644
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+++ b/content/en/user-guide/aws/bedrock/index.md
@@ -0,0 +1,79 @@
+---
+title: "Bedrock"
+linkTitle: "Bedrock"
+description: Use foundation models running on your device with LocalStack!
+tags: ["Enterprise image"]
+---
+
+## Introduction
+
+Bedrock is a fully managed service provided by Amazon Web Services (AWS) that makes foundation models from various LLM providers accessible via an API.
+LocalStack allows you to use the Bedrock APIs to test and develop AI-powered applications in your local environment.
+The supported APIs are available on our [API Coverage Page](https://docs.localstack.cloud/references/coverage/coverage_bedrock/), which provides information on the extent of Bedrock's integration with LocalStack.
+
+## Getting started
+
+This guide is designed for users new to AWS Bedrock and assumes basic knowledge of the AWS CLI and our `awslocal` wrapper script.
+
+Start your LocalStack container using your preferred method using the `LOCALSTACK_ENABLE_BEDROCK=1` configuration variable.
+We will demonstrate how to use Bedrock by following these steps:
+
+1. Listing available foundation models
+2. Invoking a model for inference
+3. Using the conversation API
+
+### List available foundation models
+
+You can view all available foundation models using the [`ListFoundationModels`](https://docs.aws.amazon.com/bedrock/latest/APIReference/API_ListFoundationModels.html) API.
+This will show you which models are available for use in your local environment.
+
+Run the following command:
+
+{{< command >}}
+$ awslocal bedrock list-foundation-models
+{{< / command >}}
+
+### Invoke a model
+
+You can use the [`InvokeModel`](https://docs.aws.amazon.com/bedrock/latest/APIReference/API_runtime_InvokeModel.html) API to send requests to a specific model.
+In this example, we'll use the Llama 3 model to process a simple prompt.
+
+Run the following command:
+
+{{< command >}}
+$ awslocal bedrock-runtime invoke-model \
+    --model-id "meta.llama3-8b-instruct-v1:0" \
+    --body '{
+        "prompt": "<|begin_of_text|><|start_header_id|>user<|end_header_id|>\nSay Hello!\n<|eot_id|>\n<|start_header_id|>assistant<|end_header_id|>",
+        "max_gen_len": 2,
+        "temperature": 0.9
+    }' --cli-binary-format raw-in-base64-out outfile.txt
+{{< / command >}}
+
+The output will be available in the `outfile.txt`.
+
+### Use the conversation API
+
+Bedrock provides a higher-level conversation API that makes it easier to maintain context in a chat-like interaction using the [`Converse`](https://docs.aws.amazon.com/bedrock/latest/APIReference/API_runtime_Converse.html) API.
+You can specify both system prompts and user messages.
+
+Run the following command:
+
+{{< command >}}
+$ awslocal bedrock-runtime converse \
+    --model-id "meta.llama3-8b-instruct-v1:0" \
+    --messages '[{
+        "role": "user",
+        "content": [{
+            "text": "Say Hello!"
+        }]
+    }]' \
+    --system '[{
+        "text": "You'\''re a chatbot that can only say '\''Hello!'\''"
+    }]'
+{{< / command >}}
+
+## Limitations
+
+* LocalStack Bedrock implementation is mock-only and does not run any LLM model locally.
+* Currently, GPU models are not supported by the LocalStack Bedrock implementation.