Pinecone

Long-term Memory for AI. The Pinecone vector database makes it easy to build high-performance vector search applications. Developer-friendly, fully managed, and easily scalable without infrastructure hassles.

Integrate the Pinecone API with the Bash API

Setup the Pinecone API trigger to run a workflow which integrates with the Bash API. Pipedream's integration platform allows you to integrate Pinecone and Bash remarkably fast. Free for developers.

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Delete Vectors with the Pinecone API

Deletes one or more vectors by ID, from a single namespace. See the documentation.

 
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Run Bash Code with the Bash API

Run any Bash in a Pipedream step within your workflow. Refer to the Pipedream Bash docs to learn more.

 
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Fetch Vectors with the Pinecone API

Looks up and returns vectors by ID, from a single namespace.. See the documentation.

 
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Query IDs with the Pinecone API

Searches a namespace, using a query vector. It retrieves the ids of the most similar items in a namespace, along with their similarity scores. See the documentation.

 
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Update Vector with the Pinecone API

Updates vector in a namespace. If a value is included, it will overwrite the previous value. See the documentation.

 
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Overview of Pinecone

The Pinecone API enables you to work with vector databases, which are essential for building and scaling applications with AI features like recommendation systems, image recognition, and natural language processing. On Pipedream, you can create serverless workflows integrating Pinecone with other apps, automate data ingestion, query vector databases in response to events, and orchestrate complex data processing pipelines that leverage Pinecone's similarity search.

Connect Pinecone

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    pinecone: {
      type: "app",
      app: "pinecone",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.pinecone.io/collections`,
      headers: {
        "Api-Key": `${this.pinecone.$auth.api_key}`,
      },
    })
  },
})

Connect Bash

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# $PIPEDREAM_STEPS file contains data from previous steps
cat $PIPEDREAM_STEPS | jq .trigger.context.id

# Write data to $PIPEDREAM_EXPORTS to return it from the step
# Exports must be written as key=value
echo foo=bar >> $PIPEDREAM_EXPORTS

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo
Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo