Overview
Migration workflow for LangChain teams currently on Tavily who want vendor-independent replacement post-Nebius acquisition. Typically <30 minutes for a small project.
Trigger
On-demand (migration project)
Schedule
On-demand (migration project)
Workflow Steps
1
pip install langchain-scavio
Drop-in LangChain integration.
2
Replace TavilySearchResults with ScavioSearchTool
Same call shape.
3
Swap API key in env
TAVILY_API_KEY → SCAVIO_API_KEY.
4
Keep prompts as-is
Output JSON shape is similar; minor mapping if your prompt parses fields.
5
Map /extract pattern
Tavily extract → Scavio /api/v1/extract. Same idea.
6
Optional: add Reddit / YouTube / Amazon endpoints
Bonus surface Tavily doesn't offer.
7
Validate output on a 50-query golden set
Compare top-N results vs Tavily baseline; flag drift.
Python Implementation
Python
# pip install langchain-scavio
from langchain_scavio import ScavioSearchTool
import os
tool = ScavioSearchTool(api_key=os.environ['SCAVIO_API_KEY'])
result = tool.run('latest LLM benchmarks 2026')
# replaces TavilySearchResults usage with same call shapeJavaScript Implementation
JavaScript
// import { ScavioSearchTool } from 'langchain-scavio';
// const t = new ScavioSearchTool({ apiKey: process.env.SCAVIO_API_KEY });Platforms Used
Web search with knowledge graph, PAA, and AI overviews