🚀 The customer service industry, valued over $10B, is ripe for AI-driven transformation. With @LangChainAI and @awscloud, automate your customer support with a few lines of code. Let's dive in! #AI#CustomerService
Our AI-agent acts as an automated customer support rep, intercepting emails sent by users. It understands the user's issue, gathers necessary information, and crafts a comprehensive response. The result? A seamless interaction, quick resolution, and improved customer experience.
@LangChainAI is a powerful library for AI-powered applications. Our customer support system revolves around its robust features, which simplify the development process. Check out how it powers our AI-agent.
With @LangChainAI, we've constructed an AI-agent that utilizes GPT-3.5 LM. It generates insightful email responses based on customer queries, with web browsing capabilities for information gathering. This is the core of our AI-powered customer support. js.langchain.com/docs/modules/a…
We're continually exploring ways to enhance our AI-agent. Potential future integrations include task management tools like @Jira, enabling better workflow coordination. Or adding human into the loop for handling complex cases. js.langchain.com/docs/modules/a…
@awscloud's CDK is our backbone, making building and deploying our infrastructure a cinch. Here's a look at our setup, from Lambda functions to SES rules. #AWS#CloudComputing#WebDevelopment
Coupling @LangChainAI's AI prowess with @awscloud's robust infrastructure, we've created a system that revolutionizes customer support. And you can too!
And that's a wrap!
If you're looking to leverage AI for your customer service, @LangChainAI and @awscloud are your dream team.
Stay tuned for the full project source code release tomorrow.
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🧵1/8 Here is how to build a pipeline that automates the process of creating, researching, improving & finalizing an article on any topic. I used #langchain & @OpenAI, Google Search and Google News API! Let's dive in!👇
🧵2/8 The pipeline starts by loading news articles on a chosen topic. In our example it is "Canada budget". It then creates a summary of these articles, which will be used as the basis for our first draft.
🧵3/8 The first draft is generated by using custom author and question chains in a sequential manner. The author chain creates a coherent narrative, while the question chain generates relevant questions to research further. #langchain#OpenAI