Nodes
Nodes are the fundamental building blocks of a flow in Lamatic. Each node serves a specific purpose, acting as a self-contained unit that processes input and produces output. This modular approach allows users to create complex flows by interconnecting various nodes.
Node Categories
Lamatic organizes nodes into four main categories, each with a unique function in building flows:
| Category | Purpose | Examples | Method |
|---|---|---|---|
| Apps | Integrate third-party applications into workflow | Slack, PostgreSQL, Google Sheets | These nodes act as bridges, enabling data exchange and action execution between Lamatic and external services. |
| AI | Perform artificial intelligence operations | Vector operations, text generation, natural language understanding | AI nodes use machine learning models to process and analyze data, allowing for tasks such as sentiment analysis, text classification, or content generation. |
| Data | Manipulate and transform data | Indexing, chunking, filtering | Data nodes provide tools for structuring, organizing, and processing information, ensuring data is in the right format for subsequent nodes. |
| Logic | Control the flow of execution | Conditional statements, loops, custom code execution | Logic nodes allow for decision-making and branching, enabling dynamic, responsive flow based on specific conditions or criteria. |
Here are the Nodes
AI
AI nodes use machine learning models to process and analyze data, allowing for tasks such as sentiment analysis, text classification, or content generation.
Generate Text Node
The Generate Text node allows users to programmatically generate text outputs by submitting prompts to selected LLMs.
Generate JSON Node
The Generate JSON Node allows users to generate structured JSON data using AI models with predefined schemas.
Generate Image Node
The Generate Image Node allows users to create images using AI models based on text prompts and configuration parameters.
Multimodel Node
The Multimodel Node allows users to process multiple types of data (text, images, audio) using AI models in a single workflow.
Classifier Node
The Classifier Node allows users to categorize and classify data based on predefined criteria or machine learning models.
RAG Node
The RAG (Retrieval-Augmented Generation) Node combines information retrieval with text generation to provide contextually relevant responses.
MCP Node
The MCP Node allows users to connect to and interact with external data sources and tools through the Model Context Protocol (MCP).
Supervisor Node
The Supervisor Node monitors and manages the execution of other nodes in a workflow, providing oversight and control capabilities.
Apps
These nodes act as bridges, enabling data exchange and action execution between Lamatic and external services.
Crawler Node
The Crawler Node automatically extracts data from websites by crawling web pages and following links.
N8N Node
The N8N Node enables bidirectional integration between Lamatic and N8N platforms, supporting both triggering N8N flows from Lamatic and executing Lamatic flows from N8N.
Scraper Node
You can use Firecrawl with the Crawl node to systematically browse and index websites.
Google Drive Node
The Google Drive Node automates fetching and synchronizing files from Google Drive, supporting various file types for vectorization and indexing in RAG flows.
Google Sheets Node
The Google Sheets Node automates data extraction and synchronization from Google Spreadsheets, supporting multiple sheets and various data formats for data processing and analysis flows.
OneDrive Business Node
The OneDrive Business Node automates document syncing and processing from Microsoft OneDrive Business accounts, supporting various file types for document intelligence and RAG workflows.
S3 Node
The S3 Node automates fetching and synchronizing files from Amazon S3 buckets, supporting various file types for vectorization and indexing in RAG flows.
SharePoint Business Node
The SharePoint Business Node automates document syncing and processing from Microsoft SharePoint sites, supporting various file types for document intelligence and RAG workflows.
Slack Node
The Slack Node enables seamless integration with Slack workspaces, supporting event triggering based on Slack commands and message sending capabilities for AI-powered responses.
Web Search Node
The Web Search Node enables powerful web scraping and search capabilities through serper.dev, supporting multiple search types and customizable filters for comprehensive web data access.
PostgreSQL Node
The PostgreSQL Node automates data synchronization from PostgreSQL databases, enabling scheduled fetching of rows from specified tables and supporting vectorization and indexing for RAG workflows.
Data
Data nodes provide tools for structuring, organizing, and processing information, ensuring data is in the right format for subsequent nodes.
Chunking Node
The Chunking Node breaks down large text documents into smaller, manageable chunks for processing by AI models.
Extract from File Node
The Extract from File Node extracts and processes data from various file formats including PDFs, Word documents, and text files.
Hybrid Search Node
The Hybrid Search Node combines multiple search strategies to provide comprehensive and accurate search results from vector databases.
Keyword Search Node
The Keyword Search Node performs text-based searches using specific keywords and phrases to find relevant content.
Memory Add Node
The Memory Add Node stores and manages data in memory for use across workflow executions.
Memory Retrieve Node
The Memory Retrieve Node retrieves stored data from memory for use in current workflow executions.
API Node
The Lamatic.ai API Node empowers users to external REST APIs seamlessly into their flow.
VectorDB Node
The VectorDB Node performs various operations on vector databases including insertion, deletion, and management of vector data.
Vector Search Node
The Vector Search Node performs semantic search operations on vector databases to find similar content.
Vectorize Node
The Vectorize Node converts text data into vector embeddings for use in semantic search and AI applications.
Logics
Logic nodes allow for decision-making and branching, enabling dynamic, responsive flow based on specific conditions or criteria.
Branch Node
The Branch Node creates multiple execution paths in a workflow based on conditions or data routing logic.
Code Node
The Code Node allows users to execute custom JavaScript code within workflows for data processing and logic implementation.
Condition Node
The Lamatic.ai Condition Node allows users to integrate custom logic into their flow with ease.
Execute Flow Node
The Execute Flow Node allows users to call and execute other workflows from within a current workflow.
Loop Node
The Loop Node enables iterative processing of data by repeating operations on collections or arrays of data.
Variable Node
The Variable Node allows users to define and manage variables for storing and manipulating data within workflows.
Wait Node
The Wait Node introduces delays in workflow execution for timing control and rate limiting purposes.