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Connect Pinecone and Toggl in our serverless environment

Use this template to Fetch vectors from a Pinecone index using them to create Toggl time entry.


Fetch vectors from a Pinecone index

Used integrations:
class PineconeSourceFetchVectors {
async init() {
// TODO: Create your pinecone credential
// More info at
this.pineconeClient = yepcode.integration.pinecone(
// TODO: Select the index name you want to recover.
// More info at
this.index = await pineconeClient.Index("your-index-name");

async fetch(publish, done) {
// TODO: Set your vectors id you want to fetch.
// More info at
const vectors = await this.index.fetch({
ids: ["example-id-vec1", "example-id-vec2"],
namespace: "your-namespace",
for (const vector of vectors) {
// TODO: Customize record columns mapping to the item that will be published
const item = {
values: vector.values,
metadata: vector.metadata,
namespace: vector.namespace,
await publish(item);

async close() {}

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Create Toggl time entry

Used integrations:
class HttpTargetTogglCreateTimeEntry {
async init() {
// TODO: Create your http credential with toggl information:
// More info at
// Official docs:
this.toggl = await yepcode.integration.http("your-toggl-credential-name");
async consume(item) {
// Official docs:
const workspaceId = "<your-workspace-id>";
const response = await
`workspaces/${workspaceId}/time_entries`, {
description: item.description,
tags: [...item.tags],
workspace_id: workspaceId,
duration: item.duration,
start: new Date(,
created_with: "yepcode",

async close() {}

Other combinations

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