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RAG (Retrieval-Augmented Generation) Services
We build intelligent systems that retrieve contextually relevant data before generating responsesâmaking your LLMs accurate, grounded, and enterprise-ready.
Large Language Models with Real-Time Context
Evaluation and Hallucination Mitigation
Use tools like RAGAS, TruLens, and LLM Benchmarks to evaluate answer grounding, factuality, and retrieval relevance. Apply hallucination detection and fallback strategies using AI filters and human-in-the-loop models.
Multi-Stage Retrieval Optimization
Enhance retrieval accuracy using hybrid search (semantic + keyword) with tools like Weaviate, Pinecone, Elasticsearch, and Vespa. We implement reranking layers using Cohere Rerank, BGE, or OpenAI Embedding APIs to ensure high-relevance context.
Multi-Stage Retrieval Optimization
Enhance retrieval accuracy using hybrid search (semantic + keyword) with tools like Weaviate, Pinecone, Elasticsearch, and Vespa. We implement reranking layers using Cohere Rerank, BGE, or OpenAI Embedding APIs to ensure high-relevance context.
Chunking, Embedding, and Indexing
Apply intelligent chunking strategies (recursive, semantic-aware) and embed with models like OpenAI Ada, Hugging Face Instructor-XL, or Cohere. Index data into scalable vector DBs using FAISS, Qdrant, or Chroma for low-latency lookups.
Context Window Management
We integrate with models such as GPT-4, Claude, Mistral, or LLaMA, optimizing prompt structure, context window limits, and grounding techniques to maximize performance and accuracy in long-form enterprise use cases.
Dynamic RAG for Real-Time Systems
Implement real-time RAG for dynamic datasets like support tickets, financial news, or IoT telemetry using streaming embeddings and continuously updated indexes.
Real-world Solutions Delivered for Fortune 500 Companies
RAG Assistant for Legal Teams
RAG Assistant for Legal Teams
Created a document-aware assistant that answers legal queries from 10,000+ policy documents with 85% reduction in hallucinations.
Healthcare Knowledge Retrieval System
Healthcare Knowledge Retrieval System
Built a RAG system for medical professionals pulling from structured EHR + unstructured clinical notesâimproved accuracy by 4x over base LLM.
Internal Support Bot with Live Context
Internal Support Bot with Live Context
Implemented real-time RAG using Slack threads + Confluence pagesâresolved 65% of internal IT tickets autonomously
Financial Research Assistant
Financial Research Assistant
Developed a multimodal RAG engine that pulls from PDF reports, spreadsheets, and newsâcut research time by 60%.
Why Choose Aziro for RAG Development?
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
CO-CREATE YOUR NEXT INTELLIGENT SYSTEM
Ai-Led Outcomes.
Human-Centric Impact.
From Fortune 500s to digital-native startups â our AI-native engineering accelerates scale, trust, and transformation.
Unified AI-Augmented App Stack for an eCommerce Leader
Aziro delivered multiple cross-platform apps using ML-assisted code generation and real-time CI observability â enabling seamless integration across mobile, analytics, and operations layers.
5
Projects Delivered across brands
4+
Full-stack delivery with AI-led velocity
Autonomous, Private QA Agents for a Networking Giantâs Enterprise Testing
Aziro deployed local LLM-powered QA agents that auto-generated, optimized, and executed test scripts across critical software stack â without internet connectivity or cloud dependence.
80%
Reduction in manual testing
100%
Private, on-prem inference
AI-Led Payment Automation for a FinTech Leader
Aziro implemented an intelligent payment orchestration system powered by cognitive workflows and embedded anomaly detection, ensuring zero reconciliation errors across the financial lifecycle.
60%
Boost in processing speed
100%
Accuracy in audit reconciliation
Predictive Storage Intelligence for a Data Storage Leader
Aziro built an AI-powered observability layer that predicts bottlenecks, allocates resources dynamically, and enhances decision-making with ML-based usage trends.
30%
Gain in storage efficiency
24/7
Continuous AI-driven insights & alerts
AI-Enabled Claims Automation for an Insurance Giant
Aziro deployed a scalable, AI-native claims management platform with predictive triage, automated case routing, and observability built into the core â all running in a cloud-agnostic environment.
40%
Reduction in infra cost
99.9%
Uptime with intelligent failover
Scaling AI-Native Engineering
Aziro built a cross-functional engineering squad embedded with AI-augmented DevOps pipelines, reducing release cycles and delivering UI-rich SaaS modules at scale.
5x
Team growth in under 12 months
10+
AI-accelerated product modules shipped
PROVEN EXPERTISE IN All-Flash Array Services
Our Cognitive Infrastructure Engineering Technology Stack
Our Cognitive Infrastructure Engineering Technology Stack
Real People, Real Replies.
No Bots, No Black Holes.
Big things at Aziro often start small - a message, an idea, a quick hello. A real human reads every enquiry, and a simple conversation can turn into a real opportunity.
Start yours with us.
Talk to us
+1 227 232 3176
Drop us a line at
info@aziro.com