Guides

Step-by-step tutorials to help you build common workflow patterns.

Getting Started

Build Your First Workflow

Create a simple AI-powered document processor in 10 minutes.

Using AI Models

Connect to OpenAI, Anthropic, and other LLM providers.

Data Processing Pipelines

Transform, filter, and aggregate data from multiple sources.

API Integrations

Build workflows that connect with external APIs and services.

Common Patterns

RAG (Retrieval-Augmented Generation)

Build a knowledge base that answers questions using your documents:

  1. PDF Reader - Extract text from documents
  2. Text Splitter - Chunk into manageable pieces
  3. OpenAI Embeddings - Convert to vectors
  4. Pinecone Upsert - Store in vector database
  5. Pinecone Query - Find relevant chunks
  6. OpenAI Chat - Generate answers with context

Automated Notifications

Send alerts based on data conditions:

  1. Webhook Trigger - Receive incoming data
  2. Conditional - Check if conditions are met
  3. Slack / SendGrid - Send notification

Data ETL Pipeline

Extract, transform, and load data:

  1. HTTP Request - Fetch from source API
  2. JSON Transform - Clean and reshape data
  3. PostgreSQL - Write to destination database

AI Content Generation

Generate content at scale:

  1. CSV Dataset - Load input prompts
  2. Loop - Iterate over each row
  3. OpenAI - Generate content
  4. File Writer - Save outputs

Video Tutorials

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