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Introduction

Pathlit

Do not worry! If you're curious about what large language models (LLMs) and generative AI are and what they can do, you'vecome to the right place. Let’s dive in!

New to LLMs and Generative AI?

Here you will be able to learn about the different capabilities Pathlit unlocks for you

Pathlit Overview

Execute tasks using a single AI agent with configurable tools and capabilities

Agent Node

Orchestrate multiple AI agents to collaborate and solve complex tasks

Agent Swarm Node

Import table data from Airtable into your workflow

Airtable Input Node

Add records to Airtable from your workflow

Airtable Output Node

Convert audio files into text transcripts

Audio Transcription Node

Interact with the Bitbucket Cloud API using the Bitbucket Agent Node

Bitbucket Agent Node

Trigger workflows based on Bitbucket events

Bitbucket Event Receive Node

Fetches pull requests from a Bitbucket repository

Bitbucket PR Input Node

Dynamically execute Python code within your workflow.

Code Execution Node

Load and process document data for your workflows

Document Data Node

Search for similar data chunks using embeddings

Embedding Search Node

Manage Google Calendar events and schedules using an AI agent

Google Calendar Agent Node

Automate tasks and interactions using Gmail as an agent

Gmail Agent Node

Trigger a workflow when an email is received from a Gmail inbox

Gmail Receive Node

Gmail Send Node

Store and retrieve global variables within your workflow

Global Variable Node

Import files from Google Drive into your workflow

Google Drive Input Node

Perform Google searches and integrate results directly into your workflows

Google Search Node

Manage and organize Google Tasks using a specialized AI agent

Google Task Agent Node

Interact with and manipulate Google Sheets using a specialized AI agent

Google Sheets Agent Node

Input Node

Retrieve Jira issues based on a JQL filter

Jira Issue Input Node

Jira Issue Output Node

Trigger a workflow when an issue is created in Jira

Jira Issue Receive Node

Parse and construct JSON data within your workflow

JSON Node

Post content to LinkedIn from your workflow

LinkedIn Output Node

Utilize an agent to scrape LinkedIn posts, profiles, and companies

LinkedIn Scraper Agent Node

Generate text using a large language model

Language Model Node

Create a Notion page from the input data.

Notion Page Output Node

Fetch and process files from Microsoft OneDrive

OneDrive Input Node

Trigger a workflow when an email is received from an Outlook inbox

Outlook Receive Node

Outlook Send Node

Output Node

Trigger a workflow according to a datetime or cron schedule

Scheduler Node

Route input data based on specified prompts and options

Simple Router Node

Slack Message Send Node

Trigger a workflow when a /run command is sent in a Slack channel

Slack Trigger Node

Sticky Note

Generate structured outputs from unstructured text using defined schemas

Structured Output Node

Create a concise summary of the uploaded documents.

Document Summarizer Node

Holds a text value for use in your workflows

Text Variable Node

Text to Image Node

Download transcript from a given video URL

Video Input Node

Extracts content from a specified webpage.

Webpage Content Extractor Node

Search the web for answers using a customizable query

Web Search Node

Run a selected workflow on each item in a list

Workflow Batch Invocation Node

Run another workflow as a node in the current workflow

Get Started

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Introduction

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New to Generative AI?

Nodes

Get Started

Nodes

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New to Generative AI?

Nodes

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