Generative AI & Agent Development
Custom RAG pipelines, LLM fine-tuning, and autonomous AI agents grounded in private data.
Service Overview
Transform your proprietary enterprise data into intelligent AI assistants. We build custom Retrieval-Augmented Generation (RAG) agents and automated LLM workflows using Azure OpenAI, LangChain, and vector databases.
Who This Service Is For
Practical Challenges We Solve
What We Deliver
Scope Boundaries & Clear Commitments
- •RAG pipeline build
- •Vector DB indexing
- •Azure OpenAI model setup
- •Security guardrails
- •Web UI / API
- •Azure OpenAI API token consumption costs
Target Use Cases & Workflows
How We Work & Delivery Methodology
Enterprise GenAI engineering with strict zero-data-retention, hallucination guardrails, and deterministic grounding.
Core Technologies & Toolstack
Cost & Timeline Factors
Project estimates vary depending on technical complexity rather than flat template rates. Key cost drivers include:
- •Volume and diversity of document formats indexed
- •Agent autonomy level (read-only search vs multi-step actions)
- •Fine-tuning vs standard RAG architecture requirement
Handover, IP Ownership & Support
Client Preparation Checklist
To help us launch your project quickly, having these items ready is beneficial:
- •Sample enterprise documents (PDF, Docx, TXT)
- •Azure cloud subscription with OpenAI model quota
- •Evaluation criteria & sample test question set
Frequently Asked Questions
Related Engineering Practices
Cloud & Data Engineering
Enterprise cloud data lakehouses, automated ETL/ELT pipelines, and analytics infrastructure.
AI Strategy & Consulting
AI roadmap planning, feasibility auditing, technology evaluation, and ROI modeling.
Machine Learning Solutions
Predictive modeling, recommendation engines, and automated anomaly detection algorithms.
Discuss Your Project
Share your software, cloud, or data project requirements — our engineering leads will get back to you within 24 hours.