Good retrieval quality
4/5Citation quality is solid when templates are constrained by intent and domain.
LIExa Search API
Web-scale retrieval API designed for AI-first search and research workflows.
Best for
- •Research copilots and citation-grounded assistant responses.
Limitations
- •Broad discovery queries can become expensive without caching.
- •Requires good ranking prompts to reduce citation noise.
Use carefully when
- •Strictly closed-network workloads.
Quickstart
- Use domain constraints and query templates for stable precision.
- Cache high-frequency prompts and citations.
Setup checklist
- • API key required: Yes
- • SDK quality: high
- • Self-host difficulty: easy
Usage Notes
- • Validate model behavior on your own benchmark slices before rollout.
- • Pin version/provider routes for reproducible outputs.
- • Add logging + fallback routes for high-volume workloads.
Pricing (EUR)
Input / 1M
-
Output / 1M
-
Monthly
51 €
Capabilities
- webSearchYes
- semanticRetrievalYes
- freshnessWindowHours12
- citationSupportYes
Benchmarks
retrieval Precision
85.1
citation Coverage
84.9
latency P95 Ms
980
Community reviews
1 reviews • avg 4
Samples
textRAG citation pack
Top 8 benchmark sources for coding agents
Compliance
- License: commercial
- Commercial use: allowed
Provenance
- Last verified: 16/4/2026
- Source: https://livebench.ai/