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Retrieval-grounded assistants. Never hallucinate.
RAG (Retrieval-Augmented Generation) chatbots ground every answer in your knowledge — docs, tickets, schemas, recordings — with citations. Kriyava ships RAG that works in production: hybrid search, permission-aware, observable, eval-tested.
Vanilla LLMs hallucinate. Vector-only RAG is fragile. The 2026 standard is hybrid search + reranking + citations + evals — and most teams haven't caught up. You can.
Dense + sparse + reranking. Beats vector-only by 30%+ on our evals.
Every fact is sourced. Every source links back.
User scopes flow through retrieval. No leakage between tenants.
Hallucination rate, faithfulness, latency — measured continuously.
Connect sources, chunk, embed, version.
Hybrid + reranker. Tune against your golden set.
Prompted, evaluated, cited responses.
Drift dashboards + retraining cadence.
One call with a Kriyava AI architect. We map your highest-leverage workflow, scope a build, and ship something live before your next quarterly review.