Cookbook

Construct your own Web interface document Q&A bot with LangChain, FastUI, and Pluto, all in just 5 minutes, based on your GitHub documentation repository.

This article guides you on how to develop and deploy a document question-answering bot using Pluto, which is built upon Llama3 and LangChain. You can specify a GitHub repository, then utilize the Llama3 model to conduct Q&A based on the content of the documents.

A simple web application built using Router, Queue, and KVStore, involving HTTP routing, message queue subscription, etc., that can be deployed to AWS or Kubernetes.

A simple web application built using Router, Queue, and KVStore, involving HTTP routing, message queue subscription, etc., that can be deployed to AWS or Kubernetes.

Deploying a LangChain application that seamlessly integrates with the Llama2 large language model using Pluto, ultimately productizing and deploying the LangChain application on the AWS cloud platform with an exposed HTTP interface.

Create a simple conversational chatbot by integrating Pluto, AWS services, LangChain, and Llama2.

Create a simple conversational chatbot by integrating Pluto, AWS services, LangChain, and Llama2.

Pluto simplifies the deployment of Hugging Face models on AWS SageMaker and enables integration with other AWS services such as SNS, DynamoDB, Lambda, and API Gateway.

This is an example application that shows how to adapt a FastAPI application with Pluto.

Deploy LangServe application to AWS using Pluto, expose LangServe application through Api Gateway, support RemoteRunnable invocation, and Playground.

Creates a simple joke bot on AWS using the Slack WebAPI. The bot will send a daily joke to a specified channel.

Creates a chatbot running in a command line terminal. The chatbot supports multiple sessions and automatically saves and restores sessions.