Connect PostgreSQL and Pinecone to Build Intelligent Automations

Choose a Trigger

PostgreSQL

When this happens...

Choose an Action

Pinecone

Automatically do this!

Actions and Triggers

When this happensTriggers

A trigger is an event that starts a workflow.

Postgresql (mutiple table)

Postgresql (mutiple table)

Get all the data, which was updated in last 15 min, from all the table provided.

Request a new Trigger for PostgreSQL

Do thisActions

Action is the task that follows automatically within your PostgreSQL integrations.

Execute a Query (advanced)

Execute a Query (advanced)

You can select, create, update or delete row(s) of table via custom SQL query.

Insert row

Insert row

Adds a new row into the table.

Create an index

Create an index

Create an index for vectors created with an external embedding model.

Generate vectors

Generate vectors

Generate vector embeddings for input data.

Delete an Index

Delete an Index

Removes a specified index by its ID or name.

Fetch Index by Name

Fetch Index by Name

Returns details and structure of a specified index.

Request a new Action for PostgreSQL

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Frequently Asked Questions

How do I start an integration between PostgreSQL and Pinecone?

To start, connect both your PostgreSQL and Pinecone accounts to viaSocket. Once connected, you can set up a workflow where an event in PostgreSQL triggers actions in Pinecone (or vice versa).

Can we customize how data from PostgreSQL is recorded in Pinecone?

Absolutely. You can customize how PostgreSQL data is recorded in Pinecone. This includes choosing which data fields go into which fields of Pinecone, setting up custom formats, and filtering out unwanted information.

How often does the data sync between PostgreSQL and Pinecone?

The data sync between PostgreSQL and Pinecone typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.

Can I filter or transform data before sending it from PostgreSQL to Pinecone?

Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.

Is it possible to add conditions to the integration between PostgreSQL and Pinecone?

Yes, you can set conditional logic to control the flow of data between PostgreSQL and Pinecone. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.

PostgreSQL

About PostgreSQL

this plug use to run query on provided database

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Pinecone

About Pinecone

Pinecone is a vector database designed to provide fast and scalable similarity search and machine learning applications. It enables developers to build high-performance applications that require real-time vector search and retrieval, making it ideal for AI-driven solutions.

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