AWS Lambda and MongoDB Atlas Vector Store integration

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How to connect AWS Lambda and MongoDB Atlas Vector Store

Create a new workflow and add the first step

In n8n, click the "Add workflow" button in the Workflows tab to create a new workflow. Add the starting point – a trigger on when your workflow should run: an app event, a schedule, a webhook call, another workflow, an AI chat, or a manual trigger. Sometimes, the HTTP Request node might already serve as your starting point.

Build your own AWS Lambda and MongoDB Atlas Vector Store integration

Create custom AWS Lambda and MongoDB Atlas Vector Store workflows by choosing triggers and actions. Nodes come with global operations and settings, as well as app-specific parameters that can be configured. You can also use the HTTP Request node to query data from any app or service with a REST API.

AWS Lambda and MongoDB Atlas Vector Store integration details

AWS Lambda

AWS Lambda is a tool that helps you run codes without having to worry about servers, clusters, provisioning or managing infrastructure. With this tool, you can respond to high demand, save money by only paying for the compute time you use, and much more benefits.

AWS Lambda node docs + examples

AWS Lambda credential docs

See AWS Lambda integrations

Related categories

Development

MongoDB Atlas Vector Store

MongoDB Atlas Vector Store node docs + examples

MongoDB Atlas Vector Store credential docs

See MongoDB Atlas Vector Store integrations

Related categories

AI Langchain

Other integrations with AWS Lambda

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