Step-by-step guide to building a serverless AI-powered reading list app using DigitalOcean Functions, the Mistral AI API, and a managed MongoDB database. The function accepts a URL, uses Mistral's mistral-small-latest model to generate a text summary, and stores both the link and summary in MongoDB. Covers creating a serverless function with Node.js 18, configuring environment variables for API keys and database credentials, setting appropriate function timeouts for LLM calls, and connecting to a managed MongoDB cluster. Includes the complete final code and notes on security considerations like IP whitelisting and VPC limitations.
Table of contents
IntroductionKey TakeawaysPrerequisitesStep 1 - Creating an empty DigitalOcean FunctionStep 2 - Testing our functionStep 3 - Adding the LLM codeStep 4 - Adding secretsStep 5 - Getting the LLM summaryStep 6 - Spinning up our MongoDB databaseStep 7 - Getting our MongoDB connection stringStep 8 - Persisting data into MongoDBFAQsConclusionSort: