Merge remote-tracking branch 'origin/dev' into merge

docs/docs/components/custom.mdx

@@ -56,7 +56,7 @@ The CustomComponent class serves as the foundation for creating custom component
 - **build_config**: Used to define the configuration fields of the component (if applicable). It should always return a dictionary with specific keys representing the field names and corresponding configurations. This method is called when the code is processed (i.e., when you click _Check and Save_ in the code editor). It must follow the format described below:
 
   - Top-level keys are field names.
-  - Their values are also of type _`dict`_. They specify the behavior of the generated fields.
+  - Their values are can be of type _`langflow.field_typing.TemplateField`_ or _`dict`_. They specify the behavior of the generated fields.
 
   Below are the available keys used to configure component fields:
 
@@ -73,7 +73,7 @@ The CustomComponent class serves as the foundation for creating custom component
   | _`required: bool`_         | Makes the field required.                                                                                                                                                                                                                                                   |
   | _`info: str`_              | Adds a tooltip to the field.                                                                                                                                                                                                                                                |
   | _`file_types: List[str]`_  | This is a requirement if the _`field_type`_ is _file_. Defines which file types will be accepted. For example, _json_, _yaml_ or _yml_.                                                                                                                                     |
-
+  | _`range_spec: langflow.field_typing.RangeSpec`_ | This is a requirement if the _`field_type`_ is _`float`_. Defines the range of values accepted and the step size. If none is defined, the default is _`[-1, 1, 0.1]`_.                                                                                                     |
 - The CustomComponent class also provides helpful methods for specific tasks (e.g., to load and use other flows from the Langflow platform):
 
   | Method Name    | Description                                                         |

docs/docs/components/embeddings.mdx

@@ -12,6 +12,22 @@ Embeddings are vector representations of text that capture the semantic meaning
 
 ---
 
+### BedrockEmbeddings
+
+Used to load [Amazon Bedrocks’s](https://aws.amazon.com/bedrock/) embedding models.
+
+**Params**
+
+- **credentials_profile_name:** The name of the profile in the ~/.aws/credentials or ~/.aws/config files, which has either access keys or role information specified. If not specified, the default credential profile or, if on an EC2 instance, credentials from IMDS will be used. See [the AWS documentation](https://boto3.amazonaws.com/v1/documentation/api/latest/guide/credentials.html) for more details.
+
+- **model_id:** Id of the model to call, e.g., amazon.titan-embed-text-v1, this is equivalent to the modelId property in the list-foundation-models api.
+
+- **endpoint_url:** Needed if you don’t want to default to us-east-1 endpoint.
+
+- **region_name:** The aws region e.g., us-west-2. Fallsback to AWS_DEFAULT_REGION env variable or region specified in ~/.aws/config in case it is not provided here.
+
+---
+
 ### CohereEmbeddings
 
 Used to load [Cohere’s](https://cohere.com/) embedding models.

docs/docs/guidelines/components.mdx

@@ -5,7 +5,7 @@ import ReactPlayer from "react-player";
 
 # Component
 
-Components are the building blocks of the flows. They are made of inputs, outputs, and parameters that define their functionality, providing a convenient and straightforward way to compose LLM-based applications. Learn more about components and how they work in the LangChain [documentation](https://docs.langchain.com/docs/category/components) section.
+Components are the building blocks of the flows. They are made of inputs, outputs, and parameters that define their functionality, providing a convenient and straightforward way to compose LLM-based applications. Learn more about components and how they work in the LangChain [documentation](https://python.langchain.com/docs/integrations/components) section.
 
 ### Component's Features