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 Formatting API
Setup the Pinecone API trigger to run a workflow which integrates with the Formatting API. Pipedream's integration platform allows you to integrate Pinecone and Formatting remarkably fast. Free for developers.
Popular Pinecone and Formatting Actions#
Deletes one or more vectors by ID, from a single namespace. See the documentation.
Looks up and returns vectors by ID, from a single namespace.. See the documentation.
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.
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#
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 Formatting#
export default defineComponent({
async run({ steps, $ }) {
const text = ' Hello world! ';
return text.trim()
},
})