Local Search Index vs Search API (Scavio)
Local search indices (LLMSearchIndex, custom embeddings over CommonCrawl) give you free, private, offline search. Search APIs give you live, maintained, zero-infrastructure search. For RAG applications, the tradeoff is freshness vs privacy and cost.
50 free credits · no credit card
Local Search Index
Free (open-source); storage and compute costs
Strengths
- No per-query cost after setup
- Full data privacy (nothing leaves your server)
- Works offline
- Custom relevance tuning
Weaknesses
- Stale data (requires periodic reindexing)
- Significant storage requirements (200M+ pages = terabytes)
- Infrastructure maintenance
- Relevance quality depends on your embedding model
Search API (Scavio)
$0.005/credit; 250 free/mo
Strengths
- Always fresh (live search results)
- Zero infrastructure to maintain
- High relevance (Google's ranking algorithm)
- Multi-platform coverage
Weaknesses
- Per-query cost
- Data leaves your environment
- Depends on external service availability
- Cannot customize ranking algorithm
Feature-by-feature comparison
Verdict
Use local for privacy-sensitive queries and frequently-accessed content. Use API for time-sensitive queries and novel topics. The best RAG systems use both: local index as primary (fast, free), API as fallback when local results are stale or low-confidence.
Consider Scavio instead
A hybrid approach works well: query your local index first (free, fast). If the top result is older than 7 days or similarity score is below 0.7, fall back to Scavio for fresh results. This keeps API costs low (only fallback queries cost credits) while ensuring freshness when it matters.
Frequently Asked Questions
Local search indices (LLMSearchIndex, custom embeddings over CommonCrawl) give you free, private, offline search. Search APIs give you live, maintained, zero-infrastructure search. For RAG applications, the tradeoff is freshness vs privacy and cost.
Local Search Index is priced at Free (open-source); storage and compute costs. Search API (Scavio) is priced at $0.005/credit; 250 free/mo. The better value depends on your usage volume and feature requirements.
A hybrid approach works well: query your local index first (free, fast). If the top result is older than 7 days or similarity score is below 0.7, fall back to Scavio for fresh results. This keeps API costs low (only fallback queries cost credits) while ensuring freshness when it matters.
Some teams use both tools for different parts of their pipeline. However, a unified API like Scavio can replace the need for multiple subscriptions by providing search, content extraction, YouTube, and Amazon data from a single endpoint.
Try Scavio for free
50 free credits on signup. Structured data from Google, YouTube, Amazon, Walmart, and Reddit. No credit card required.