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Tavily

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Fal AI

Integrate Tavily and Fal AI

Connect Tavily and Fal AI nodes in your workflow. Integrate with any tool or database and ship powerful backend logic and APIs instantly - No code required!

Node stack

Supported Tavily and Fal AI Nodes

Add any other tools or your preferred database nodes. If an integration is not available generate your own using AI

Tavily - Search

Tavily Search is a robust search API tailored specifically for LLM Agents. It seamlessly integrates with diverse data sources to ensure a superior, relevant search experience. [More information and API here](https://docs.tavily.com/docs/tavily-api/introduction) Features​: - Curated Results: Provides top-tier results sorted by relevance across multiple sources. - Speed & Efficiency: Optimized for performance, delivering real-time results. - Customizable: Easily refine search results based on various criteria. - Easy Integration: Simple to integrate with existing applications.

Generate Animation

Generates animations based on a prompt using AnimateDiff Fal AI Model

Stable Diffusion XL Image Generator

Generates an image based on given prompt using Stable Diffusion XL Image Generator

Stable Video Diffusion

Generates a stable diffusion video using FAL API.

Text to Image Generator

Generates images from text using Fooocus model by Fal AI

Whisper Speech to Text

Converts speech to text using Fal AI's Whisper model

Quick start

How to integrate Tavily and Fal AI

Step 1 — Add the nodes to your workflow

Create a new workflow in BuildShip, click “Add node”, and select the Tavily and Fal AI actions you want to use.

Step 2 — Configure each node

Go to each node to authenticate (or add your API key) and fill in the required parameters.

Step 3 — Connect the nodes

Each node in BuildShip can connect to others by using their output variables. When you reference a variable from one node in another, BuildShip automatically links them in the workflow.

Step 4 — Test your workflow

Define your starting data in the Inputs node and choose what to do with the result in the Flow Output node. Finally, run a test to see your workflow in action.

blog posts & tutorials

Recommended Reads

Below are recommneded blogs that will help in your journey