[New feature] Add support for Embeddings model from Amazon Bedrock & documentation (#1086)

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Gabriel Luiz Freitas Almeida 2023-11-01 19:28:00 -03:00 • committed by GitHub
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@ -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.

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poetry.lock generated
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jira = ["atlassian-python-api"]
local-inference = ["markdown", "msg-parser", "networkx", "onnx", "openpyxl", "pandas", "pdf2image", "pdfminer.six", "pypandoc", "python-docx (>=1.0.1)", "python-pptx (<=0.6.21)", "unstructured-inference (==0.7.10)", "unstructured.pytesseract (>=0.3.12)", "xlrd"]
local-inference = ["ebooklib", "markdown", "msg-parser", "networkx", "onnx", "openpyxl", "pandas", "pdf2image", "pdfminer.six", "pypandoc", "python-docx (>=1.0.1)", "python-pptx (<=0.6.21)", "unstructured-inference (==0.7.7)", "unstructured.pytesseract (>=0.3.12)", "xlrd"]
md = ["markdown"]
msg = ["msg-parser"]
notion = ["htmlBuilder", "notion-client"]

View file

@ -0,0 +1,46 @@
from typing import Optional
from langflow import CustomComponent
from langchain.embeddings import BedrockEmbeddings
from langchain.embeddings.base import Embeddings
class AmazonBedrockEmeddingsComponent(CustomComponent):
"""
A custom component for implementing an Embeddings Model using Amazon Bedrock.
"""
display_name: str = "Amazon Bedrock Embeddings"
description: str = "Embeddings model from Amazon Bedrock."
documentation = "https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock"
beta = True
def build_config(self):
return {
"model_id": {
"display_name": "Model Id",
"options": ["amazon.titan-embed-text-v1"],
},
"credentials_profile_name": {"display_name": "Credentials Profile Name"},
"endpoint_url": {"display_name": "Bedrock Endpoint URL"},
"region_name": {"display_name": "AWS Region"},
"code": {"show": False},
}
def build(
self,
model_id: str = "amazon.titan-embed-text-v1",
credentials_profile_name: Optional[str] = None,
endpoint_url: Optional[str] = None,
region_name: Optional[str] = None,
) -> Embeddings:
try:
output = BedrockEmbeddings(
credentials_profile_name=credentials_profile_name,
model_id=model_id,
endpoint_url=endpoint_url,
region_name=region_name,
) # type: ignore
except Exception as e:
raise ValueError("Could not connect to AmazonBedrock API.") from e
return output

View file

@ -106,6 +106,9 @@ embeddings:
documentation: "https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/cohere"
VertexAIEmbeddings:
documentation: "https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/google_vertex_ai_palm"
AmazonBedrockEmbeddings:
documentation: "https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock"
llms:
OpenAI:
documentation: "https://python.langchain.com/docs/modules/model_io/models/llms/integrations/openai"

View file

@ -0,0 +1,31 @@
const SvgAWS = (props) => (
<svg
xmlns="http://www.w3.org/2000/svg"
xmlSpace="preserve"
id="Layer_1"
x={0}
y={0}
style={{
enableBackground: "new 0 0 304 182",
}}
viewBox="0 0 304 182"
{...props}
>
<style>{".st1{fill-rule:evenodd;clip-rule:evenodd;fill:#f90}"}</style>
<path
d="M86.4 66.4c0 3.7.4 6.7 1.1 8.9.8 2.2 1.8 4.6 3.2 7.2.5.8.7 1.6.7 2.3 0 1-.6 2-1.9 3L83.2 92c-.9.6-1.8.9-2.6.9-1 0-2-.5-3-1.4-1.4-1.5-2.6-3.1-3.6-4.7-1-1.7-2-3.6-3.1-5.9-7.8 9.2-17.6 13.8-29.4 13.8-8.4 0-15.1-2.4-20-7.2-4.9-4.8-7.4-11.2-7.4-19.2 0-8.5 3-15.4 9.1-20.6 6.1-5.2 14.2-7.8 24.5-7.8 3.4 0 6.9.3 10.6.8 3.7.5 7.5 1.3 11.5 2.2v-7.3c0-7.6-1.6-12.9-4.7-16-3.2-3.1-8.6-4.6-16.3-4.6-3.5 0-7.1.4-10.8 1.3-3.7.9-7.3 2-10.8 3.4-1.6.7-2.8 1.1-3.5 1.3-.7.2-1.2.3-1.6.3-1.4 0-2.1-1-2.1-3.1v-4.9c0-1.6.2-2.8.7-3.5.5-.7 1.4-1.4 2.8-2.1 3.5-1.8 7.7-3.3 12.6-4.5C41 1.9 46.2 1.3 51.7 1.3c11.9 0 20.6 2.7 26.2 8.1 5.5 5.4 8.3 13.6 8.3 24.6v32.4zM45.8 81.6c3.3 0 6.7-.6 10.3-1.8 3.6-1.2 6.8-3.4 9.5-6.4 1.6-1.9 2.8-4 3.4-6.4.6-2.4 1-5.3 1-8.7v-4.2c-2.9-.7-6-1.3-9.2-1.7-3.2-.4-6.3-.6-9.4-.6-6.7 0-11.6 1.3-14.9 4-3.3 2.7-4.9 6.5-4.9 11.5 0 4.7 1.2 8.2 3.7 10.6 2.4 2.5 5.9 3.7 10.5 3.7zm80.3 10.8c-1.8 0-3-.3-3.8-1-.8-.6-1.5-2-2.1-3.9L96.7 10.2c-.6-2-.9-3.3-.9-4 0-1.6.8-2.5 2.4-2.5h9.8c1.9 0 3.2.3 3.9 1 .8.6 1.4 2 2 3.9l16.8 66.2 15.6-66.2c.5-2 1.1-3.3 1.9-3.9.8-.6 2.2-1 4-1h8c1.9 0 3.2.3 4 1 .8.6 1.5 2 1.9 3.9l15.8 67 17.3-67c.6-2 1.3-3.3 2-3.9.8-.6 2.1-1 3.9-1h9.3c1.6 0 2.5.8 2.5 2.5 0 .5-.1 1-.2 1.6-.1.6-.3 1.4-.7 2.5l-24.1 77.3c-.6 2-1.3 3.3-2.1 3.9-.8.6-2.1 1-3.8 1h-8.6c-1.9 0-3.2-.3-4-1-.8-.7-1.5-2-1.9-4L156 23l-15.4 64.4c-.5 2-1.1 3.3-1.9 4-.8.7-2.2 1-4 1h-8.6zm128.5 2.7c-5.2 0-10.4-.6-15.4-1.8-5-1.2-8.9-2.5-11.5-4-1.6-.9-2.7-1.9-3.1-2.8-.4-.9-.6-1.9-.6-2.8v-5.1c0-2.1.8-3.1 2.3-3.1.6 0 1.2.1 1.8.3.6.2 1.5.6 2.5 1 3.4 1.5 7.1 2.7 11 3.5 4 .8 7.9 1.2 11.9 1.2 6.3 0 11.2-1.1 14.6-3.3 3.4-2.2 5.2-5.4 5.2-9.5 0-2.8-.9-5.1-2.7-7-1.8-1.9-5.2-3.6-10.1-5.2L246 52c-7.3-2.3-12.7-5.7-16-10.2-3.3-4.4-5-9.3-5-14.5 0-4.2.9-7.9 2.7-11.1 1.8-3.2 4.2-6 7.2-8.2 3-2.3 6.4-4 10.4-5.2 4-1.2 8.2-1.7 12.6-1.7 2.2 0 4.5.1 6.7.4 2.3.3 4.4.7 6.5 1.1 2 .5 3.9 1 5.7 1.6 1.8.6 3.2 1.2 4.2 1.8 1.4.8 2.4 1.6 3 2.5.6.8.9 1.9.9 3.3v4.7c0 2.1-.8 3.2-2.3 3.2-.8 0-2.1-.4-3.8-1.2-5.7-2.6-12.1-3.9-19.2-3.9-5.7 0-10.2.9-13.3 2.8-3.1 1.9-4.7 4.8-4.7 8.9 0 2.8 1 5.2 3 7.1 2 1.9 5.7 3.8 11 5.5l14.2 4.5c7.2 2.3 12.4 5.5 15.5 9.6 3.1 4.1 4.6 8.8 4.6 14 0 4.3-.9 8.2-2.6 11.6-1.8 3.4-4.2 6.4-7.3 8.8-3.1 2.5-6.8 4.3-11.1 5.6-4.5 1.4-9.2 2.1-14.3 2.1z"
style={{
fill: "#252f3e",
}}
/>
<path
d="M273.5 143.7c-32.9 24.3-80.7 37.2-121.8 37.2-57.6 0-109.5-21.3-148.7-56.7-3.1-2.8-.3-6.6 3.4-4.4 42.4 24.6 94.7 39.5 148.8 39.5 36.5 0 76.6-7.6 113.5-23.2 5.5-2.5 10.2 3.6 4.8 7.6z"
className="st1"
/>
<path
d="M287.2 128.1c-4.2-5.4-27.8-2.6-38.5-1.3-3.2.4-3.7-2.4-.8-4.5 18.8-13.2 49.7-9.4 53.3-5 3.6 4.5-1 35.4-18.6 50.2-2.7 2.3-5.3 1.1-4.1-1.9 4-9.9 12.9-32.2 8.7-37.5z"
className="st1"
/>
</svg>
);
export default SvgAWS;

View file

@ -0,0 +1,38 @@
<?xml version="1.0" encoding="utf-8"?>
<!-- Generator: Adobe Illustrator 19.0.1, SVG Export Plug-In . SVG Version: 6.00 Build 0) -->
<svg version="1.1" id="Layer_1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px"
viewBox="0 0 304 182" style="enable-background:new 0 0 304 182;" xml:space="preserve">
<style type="text/css">
.st0{fill:#252F3E;}
.st1{fill-rule:evenodd;clip-rule:evenodd;fill:#FF9900;}
</style>
<g>
<path class="st0" d="M86.4,66.4c0,3.7,0.4,6.7,1.1,8.9c0.8,2.2,1.8,4.6,3.2,7.2c0.5,0.8,0.7,1.6,0.7,2.3c0,1-0.6,2-1.9,3l-6.3,4.2
c-0.9,0.6-1.8,0.9-2.6,0.9c-1,0-2-0.5-3-1.4C76.2,90,75,88.4,74,86.8c-1-1.7-2-3.6-3.1-5.9c-7.8,9.2-17.6,13.8-29.4,13.8
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</svg>

After

Width:  |  Height:  |  Size: 3.4 KiB

View file

@ -0,0 +1,8 @@
import React, { forwardRef } from "react";
import SvgAWS from "./AWS";
export const AWSIcon = forwardRef<SVGSVGElement, React.PropsWithChildren<{}>>(
(props, ref) => {
return <SvgAWS ref={ref} {...props} />;
}
);

View file

@ -87,6 +87,7 @@ import {
Zap,
} from "lucide-react";
import { FaApple, FaGithub } from "react-icons/fa";
import { AWSIcon } from "../icons/AWS";
import { AirbyteIcon } from "../icons/Airbyte";
import { AnthropicIcon } from "../icons/Anthropic";
import { BingIcon } from "../icons/Bing";
@ -199,6 +200,7 @@ export const nodeIconsLucide: iconsType = {
ArrowUpToLine: ArrowUpToLine,
Chroma: ChromaIcon,
AirbyteJSONLoader: AirbyteIcon,
AmazonBedrockEmbeddings: AWSIcon,
Anthropic: AnthropicIcon,
ChatAnthropic: AnthropicIcon,
BingSearchAPIWrapper: BingIcon,