Exa (Semantic Search) vs Keyword Search APIs (Scavio, SerpAPI, Tavily)
RAG pipelines face a fundamental retrieval choice: semantic search (Exa) that finds conceptually related content, or keyword search (Scavio, SerpAPI, Tavily) that matches exact terms. Each approach excels in different RAG scenarios. Semantic search finds related content even without keyword overlap, while keyword search provides precise, predictable results. This comparison helps RAG architects choose the right retrieval strategy.
50 free credits · no credit card
Exa (Semantic Search)
$10 free credits/mo, $4/1K Instant, $7/1K with contents
Strengths
- Finds conceptually related content without keyword matching
- Excellent for research and discovery queries
- Neural embeddings capture meaning, not just words
- 1K free requests for RAG pipeline testing
Weaknesses
- Misses exact-match results that keyword search finds
- Content extraction adds $2/1K to base pricing
- Web only, no YouTube/Amazon/Reddit data
- Semantic relevance scoring is less transparent than keyword ranking
Keyword Search APIs (Scavio, SerpAPI, Tavily)
$0.005-0.025/query depending on provider
Strengths
- Exact keyword matching for precise retrieval
- Transparent ranking based on search engine algorithms
- Multi-platform data (Scavio: 50+ platforms)
- SERP features (Knowledge Graph, AI Overview, PAA)
Weaknesses
- Misses conceptually related content without keyword overlap
- Requires exact or close keyword matches in results
- Less effective for exploratory research queries
- Keyword stuffing in results can reduce retrieval quality
Feature-by-feature comparison
Verdict
Use semantic search (Exa) when your RAG pipeline handles exploratory research queries where the user's question does not contain the exact keywords that would appear in relevant results. Use keyword search when your RAG pipeline needs factual grounding, product data, or answers to specific questions where precision matters more than discovery. The strongest RAG pipelines use both: semantic search for discovery and keyword search for fact verification.
Consider Scavio instead
Scavio provides keyword-based search across 50+ platforms at about $0.0043 per credit on the $30 Project plan, making it the precision complement to Exa's semantic discovery. Use Exa to find conceptually related content, then Scavio to verify facts, check product data, and ground responses with exact matches from Google, YouTube, Amazon, Reddit, and TikTok. The two approaches cost comparable amounts (Scavio $4.30 per 1,000 on Project, Exa about $7) and cover each other's blind spots.
Frequently Asked Questions
RAG pipelines face a fundamental retrieval choice: semantic search (Exa) that finds conceptually related content, or keyword search (Scavio, SerpAPI, Tavily) that matches exact terms. Each approach excels in different RAG scenarios. Semantic search finds related content even without keyword overlap, while keyword search provides precise, predictable results. This comparison helps RAG architects choose the right retrieval strategy.
Exa (Semantic Search) is priced at $10 free credits/mo, $4/1K Instant, $7/1K with contents. Keyword Search APIs (Scavio, SerpAPI, Tavily) is priced at $0.005-0.025/query depending on provider. The better value depends on your usage volume and feature requirements.
Scavio provides keyword-based search across 50+ platforms at about $0.0043 per credit on the $30 Project plan, making it the precision complement to Exa's semantic discovery. Use Exa to find conceptually related content, then Scavio to verify facts, check product data, and ground responses with exact matches from Google, YouTube, Amazon, Reddit, and TikTok. The two approaches cost comparable amounts (Scavio $4.30 per 1,000 on Project, Exa about $7) and cover each other's blind spots.
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 50+ platforms, including Google, YouTube, Amazon, Walmart and Reddit. No credit card required.