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AWS DynamoDB and Postgres PGVector Store integration

Save yourself the work of writing custom integrations for AWS DynamoDB and Postgres PGVector Store and use n8n instead. Build adaptable and scalable Data & Storage, Development, AI, and Langchain workflows that work with your technology stack. All within a building experience you will love.

How to connect AWS DynamoDB and Postgres PGVector Store

  • Step 1: Create a new workflow
  • Step 2: Add and configure nodes
  • Step 3: Connect
  • Step 4: Customize and extend your integration
  • Step 5: Test and activate your workflow

Step 1: 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.

AWS DynamoDB and Postgres PGVector Store integration: Create a new workflow and add the first step

Step 2: Add and configure AWS DynamoDB and Postgres PGVector Store nodes

You can find AWS DynamoDB and Postgres PGVector Store in the nodes panel. Drag them onto your workflow canvas, selecting their actions. Click each node, choose a credential, and authenticate to grant n8n access. Configure AWS DynamoDB and Postgres PGVector Store nodes one by one: input data on the left, parameters in the middle, and output data on the right.

AWS DynamoDB and Postgres PGVector Store integration: Add and configure AWS DynamoDB and Postgres PGVector Store nodes

Step 3: Connect AWS DynamoDB and Postgres PGVector Store

A connection establishes a link between AWS DynamoDB and Postgres PGVector Store (or vice versa) to route data through the workflow. Data flows from the output of one node to the input of another. You can have single or multiple connections for each node.

AWS DynamoDB and Postgres PGVector Store integration: Connect AWS DynamoDB and Postgres PGVector Store

Step 4: Customize and extend your AWS DynamoDB and Postgres PGVector Store integration

Use n8n's core nodes such as If, Split Out, Merge, and others to transform and manipulate data. Write custom JavaScript or Python in the Code node and run it as a step in your workflow. Connect AWS DynamoDB and Postgres PGVector Store with any of n8n’s 1000+ integrations, and incorporate advanced AI logic into your workflows.

AWS DynamoDB and Postgres PGVector Store integration: Customize and extend your AWS DynamoDB and Postgres PGVector Store integration

Step 5: Test and activate your AWS DynamoDB and Postgres PGVector Store workflow

Save and run the workflow to see if everything works as expected. Based on your configuration, data should flow from AWS DynamoDB to Postgres PGVector Store or vice versa. Easily debug your workflow: you can check past executions to isolate and fix the mistake. Once you've tested everything, make sure to save your workflow and activate it.

AWS DynamoDB and Postgres PGVector Store integration: Test and activate your AWS DynamoDB and Postgres PGVector Store workflow

Build your own AWS DynamoDB and Postgres PGVector Store integration

Create custom AWS DynamoDB and Postgres PGVector 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 DynamoDB supported actions

Create or Update
Create a new record, or update the current one if it already exists (upsert)
Delete
Delete an item
Get
Get an item
Get Many
Get many items

Postgres PGVector Store supported modes

Get Many
Get many ranked documents from vector store for query
Insert Documents
Insert documents into vector store
Retrieve Documents (For Agent/Chain)
Retrieve documents from vector store to be used with AI nodes
Use case

Save engineering resources

Reduce time spent on customer integrations, engineer faster POCs, keep your customer-specific functionality separate from product all without having to code.

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FAQs

  • Can AWS DynamoDB connect with Postgres PGVector Store?

  • Can I use AWS DynamoDB’s API with n8n?

  • Can I use Postgres PGVector Store’s API with n8n?

  • Is n8n secure for integrating AWS DynamoDB and Postgres PGVector Store?

  • How to get started with AWS DynamoDB and Postgres PGVector Store integration in n8n.io?

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Why use n8n to integrate AWS DynamoDB with Postgres PGVector Store

Build complex workflows, really fast

Build complex workflows, really fast

Handle branching, merging and iteration easily.
Pause your workflow to wait for external events.

Code when you need it, UI when you don't

Simple debugging

Your data is displayed alongside your settings, making edge cases easy to track down.

Use templates to get started fast

Use 1000+ workflow templates available from our core team and our community.

Reuse your work

Copy and paste, easily import and export workflows.

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