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Improve retrieval quality, relevance, latency, and search performance across your AI stack.
Illustrative load sketch: ranking lanes, hybrid retrieval, and reranker latency budgets tuned together.
Baseline recall, latency, and failure modes.
Try routing, rewriting, and ranking changes.
Promote winners with guardrails.
Track regressions as documents and traffic shift.
| Capability | Lens |
|---|---|
| Retrieval analysis and failure clustering | Production stack |
| Query optimization and routing patterns | Production stack |
| Hybrid search configuration | Production stack |
| Reranking experiments | Production stack |
| Metadata strategy for filtering | Production stack |
| Latency tuning and caching options | Production stack |
| Search evaluation harnesses | Production stack |
Illustrative scenario: reranking plus metadata filters lift answer correctness on top support intents while cutting p95 latency.
Book an AI workflow audit or scoped workshop to identify high-leverage opportunities.