RAG (Retrieval-Augmented Generation) Services
We build intelligent systems that retrieve contextually relevant data before generating responses—making your LLMs accurate, grounded, and enterprise-ready.

Created a document-aware assistant that answers legal queries from 10,000+ policy documents with 85% reduction in hallucinations.
Built a RAG system for medical professionals pulling from structured EHR + unstructured clinical notes—improved accuracy by 4x over base LLM.
Implemented real-time RAG using Slack threads + Confluence pages—resolved 65% of internal IT tickets autonomously
Developed a multimodal RAG engine that pulls from PDF reports, spreadsheets, and news—cut research time by 60%.

Proven success across legal, healthcare, BFSI, and knowledge-driven industries.
Integration with leading vector DBs, LLM APIs, and enterprise knowledge bases
Hybrid search, reranking, and embedding optimization for high-relevance answers
Advanced evaluation, observability, and hallucination mitigation mechanisms

Human-Centric Impact.
From Fortune 500s to digital-native startups — our AI-native engineering accelerates scale, trust, and transformation.










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Aziro has been a true engineering partner in our digital transformation journey. Their AI-native approach and deep technical expertise helped us modernize our infrastructure and accelerate product delivery without compromising quality. The collaboration has been seamless, efficient, and outcome-driven.
Fortune 500 company