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 (250 credits/month, no credit card required) and scale to paid plans when you need higher volume.