What is Flowise?
Open-source drag-and-drop tool for building LLM flows. Visual interface for creating chatbots and AI agents.
Searching Google Scholar with Flowise
This integration lets your Flowise agent search Google Scholar in real time via the Scavio API. The agent gets back structured JSON with paper title, authors, citation count, abstract snippet — ready for reasoning and decision-making.
Setup
Bash
# No installation — configure in Flowise's drag-and-drop editorCode Example
Here is a complete Flowise agent that searches Google Scholar using Scavio:
Text
// In Flowise, add a Custom Tool node:
// Name: Scavio Google Scholar Search
// Description: Search Google Scholar for real-time results
// Method: POST
// URL: https://api.scavio.dev/api/v1/search
// Headers: {"x-api-key": "your_scavio_api_key", "Content-Type": "application/json"}
// Body: {"query": "{query}"}Full Working Example
A production-ready example with error handling:
Text
// Flowise Custom Tool Configuration for Google Scholar Search
//
// 1. Add a Custom Tool node to your flow
// 2. Configure:
// - Name: scavio_search
// - Description: Search Google Scholar for real-time results
// - Method: POST
// - URL: https://api.scavio.dev/api/v1/search
// - Headers: {"x-api-key": "your_scavio_api_key"}
// - Body: {"query": "{query}"}
// 3. Connect to an Agent or Chain nodePricing
Scavio offers a free tier with 500 credits/month (1 credit per search). No credit card required. This is enough to build and test your Flowise integration. Paid plans start at $30/month for higher volumes.