Bedrock Claude Chat

日本語はこちら

This repository is a sample chatbot using the Anthropic company's LLM Claude 2, one of the foundational models provided by Amazon Bedrock for generative AI. As of September 2023, Bedrock is under preview, and applications are required for usage. This sample is currently developed for use by Japanese speakers, but it is also possible to speak to the chatbot in English.

Architecture

It's an architecture built on AWS managed services, eliminating the need for infrastructure management. Utilizing Amazon Bedrock, there's no need to communicate with APIs outside of AWS. This enables deploying scalable, reliable, and secure applications.

Amazon DynamoDB: NoSQL database for conversation history storage
Amazon API Gateway + AWS Lambda: Backend API endpoint (AWS Lambda Web Adapter, FastAPI)
Amazon CloudFront + S3: Frontend application delivery (React, Tailwind CSS)
Amazon Cognito: User authentication
Amazon Bedrock: Managed service to utilize foundational models via APIs

Features

Authentication (Sign-up, Sign-in)
Creation, storage, and deletion of conversations
Copying of chatbot replies
Automatic subject suggestion for conversations
Syntax highlighting for code
Rendering of Markdown'
Streaming Response

Deployment

Prerequisites

As of August 2023, Bedrock is under preview, and applications are required for usage.

🚀 Easy Deployment

Open CloudShell
Clone this repository

git clone https://github.com/aws-samples/bedrock-claude-chat.git

Run deployment via following commands

cd bedrock-claude-chat
chmod +x bin.sh
./bin.sh

After about 10 minutes, you will get the following output, which you can access from your browser

Frontend URL: https://xxxxxxxxx.cloudfront.net

The sign-up screen will appear as shown above, where you can register your email and log in.

Deploy using CDK

Easy Deployment uses AWS CodeBuild to perform deployment by CDK internally. This section describes the procedure for deploying directly with CDK.

Please have UNIX commands and a Node.js runtime environment. If not, you can also use Cloud9
Clone this repository

git clone https://github.com/aws-samples/bedrock-claude-chat

Install npm packages

cd bedrock-claude-chat
cd cdk
npm ci

Install AWS CDK

npm i -g aws-cdk

Before deploying the CDK, you will need to work with Bootstrap once for the region you are deploying to. In this example, we will deploy to the us-east-1 region. Please replace your account id into <account id>.

cdk bootstrap aws://<account id>/us-east-1

If necessary, edit the following entries in [cdk.json](. /cdk/cdk.json) if necessary.
- bedrockRegion: Region where Bedrock is available.
- bedrockEndpointUrl: URL of the Bedrock endpoint.
Deploy this sample project

cdk deploy --require-approval never

You will get output similar to the following. The URL of the web app will be output in BedrockChatStack.FrontendURL, so please access it from your browser.

 ✅  BedrockChatStack

✨  Deployment time: 78.57s

Outputs:
BedrockChatStack.AuthUserPoolClientIdXXXXX = xxxxxxx
BedrockChatStack.AuthUserPoolIdXXXXXX = ap-northeast-1_XXXX
BedrockChatStack.BackendApiBackendApiUrlXXXXX = https://xxxxx.execute-api.ap-northeast-1.amazonaws.com
BedrockChatStack.FrontendURL = https://xxxxx.cloudfront.net

Others

Configure text generation parameters

Edit config.py and run cdk deploy.

GENERATION_CONFIG = {
    "max_tokens_to_sample": 500,
    "temperature": 0.0,
    "top_k": 250,
    "top_p": 0.999,
    "stop_sequences": ["Human: ", "Assistant: "],
}

RAG using Kendra

In this sample, we have not implemented RAG using Kendra. This is because when it comes to real-world deployments, factors such as access control policies, the presence or absence of data connectors, and the methods for authentication and authorization for the connected data sources can be quite diverse depending on the organization, making it difficult to generalize them in a simple manner. To put this into practice, you should consider downsides like decreased latency and increased token consumption. For these reasons, a proof of concept (PoC) to verify search accuracy is essential. Therefore, we recommend using assets like jp-rag-sample (In Japanese) for your PoC.

rppth / bedrock-claude-chat Goto Github PK