Apps

API Request

Integrate data from third party API calls into your Lamatic flow.

Chat Trigger

Drop this widget into your app to give users the ability to get answers via an interactive chat.

Chunking

Parse data into chunks (to prepare it for vectorization and subsequent semantic retrieval).

Code

Add custom logic to your Lamatic flow with this JavaScript code node.

Condition

Add custom logic to your Lamatic flow with this easy-to-use condition builder.

FireCrawl

Create Crawl or Scrape Pages instantly

Github

Monitors specific file types for changes in your repository and sends the modified file content to a webhook endpoint

Google Drive

Fetch files from Google Drive (to support chunk vectorization and RAG)

Google Sheet

Fetch rows from a Google Sheet (to support row vectorization and RAG)

GraphQL API

Trigger a custom Lamatic flow from another program and return a JSON payload with this self-documenting API node.

Hybrid Search

Embed a hybrid search (combining vector and text search) of a connected vector database within a Lamatic flow.

Image Generator

Generate image output from an LLM programmatically.

Index

Insert records to a vector database (to support fast semantic retrieval)

JSON Generate

Generate structured JSON output from an LLM programmatically.

Keyword Search

Embed a full text search of a connected vector database within a Lamatic flow.

Langfuse

Enhance observability, monitoring and insights by adding Langfuse to your Lamatic project.

Multimodal Text

Generate multimodal output from an LLM programmatically.

Postgres

Fetch rows from a PostgreSQL database (to support row vectorization and RAG)

PostHog

Build better apps with enhanced instrumentation by adding PostHog to your Lamatic project.

RAG

Efficiently generate a more relevant LLM response using Retrieval Augmented Generation (RAG).

S3

The AWS S3 node in Lamatic automates fetching and synchronizing files from Amazon S3 buckets.

Search Trigger

Drop this widget into your app to give users the ability to query via text, vector or hybrid search.

Slack

Reply to questions posed by users in a Slack channel with the /ask command; or post messages to a Slack channel

Text Generate

Generate text output from an LLM programmatically.

Vector Search

Embed a vector search of a connected vector database within a Lamatic flow.

Vectorize

Apply an embedding model to convert data chunks into numeric vector representations.

Weaviate (VectorDB)

Insert, update and retrieve records from this high-performance vector store.

Webhook

Trigger a custom Lamatic flow from another program and deliver a JSON payload to the webhook endpoint.