The Problem
Privacy-first teams running local LLMs (Qwen, Hermes Agent) need search grounding without sending queries to external services. Self-hosted SearXNG provides private search but requires infrastructure management and faces rate limiting from upstream sources.
How Scavio Helps
- Complete query privacy with SearXNG self-hosting
- Docker Compose deployment with Hermes Agent + Qwen
- Managed API fallback when self-hosted search is rate-limited
- Side-by-side quality comparison between self-hosted and managed results
- No query logs sent to external services in primary mode
Relevant Platforms
Web search with knowledge graph, PAA, and AI overviews
Quick Start: Python Example
Here is a quick example searching Google for "A team deploys SearXNG + Hermes Agent + Qwen 3.5 35B via Docker Compose. All search queries stay local. When SearXNG gets rate-limited by upstream engines (common after 100+ daily queries), the stack falls back to Scavio API for reliability. 80% of queries served privately, 20% via managed API during rate-limit windows.":
import requests
API_KEY = "your_scavio_api_key"
response = requests.post(
"https://api.scavio.dev/api/v1/search",
headers={
"x-api-key": API_KEY,
"Content-Type": "application/json",
},
json={"query": query},
)
data = response.json()
for result in data.get("organic_results", [])[:5]:
print(f"{result['position']}. {result['title']}")
print(f" {result['link']}\n")Built for Privacy-focused teams, self-hosted LLM operators, Hermes Agent users, organizations with data sovereignty requirements
Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your self-hosted agent search stack solution. The API returns structured JSON that is ready for processing, analysis, or feeding into AI agents.
Start with the free tier (50 credits on signup, no credit card required) and scale to paid plans when you need higher volume.