RAG Systems
AI that answers from your documents — accurately, with sources cited.
Your team has thousands of PDFs, SOPs, and knowledge base articles — but finding answers takes forever. We build Retrieval-Augmented Generation systems that let users ask questions in plain language and get accurate, sourced answers from your own content.
Sound familiar?
These are the pain points we hear from businesses every week — and exactly what we build to fix.
Critical knowledge locked in PDFs, wikis, and people's heads.
New employees take months to learn internal processes.
ChatGPT hallucinates when asked about your specific products.
Support team searches 5 systems to answer one customer question.
Everything you need, nothing you don't
A complete, production-ready delivery — not a half-finished prototype.
From first call to live deployment
A clear, collaborative process — so you always know what's happening and what's next.
Discovery Call
Discovery Call
We understand your business, customer questions, pain points, and success metrics.
Design & Scripting
We map conversation flows, integrations, and qualification logic before writing code.
Build & Train
We build the solution and train it on your real content, FAQs, and business rules.
Test
We run real-world scenarios and edge cases with your team before anything goes live.
Deploy & Support
We launch, monitor performance, and tune based on real usage — with ongoing support available.
Real project, real results
Internal Knowledge Assistant
Built a RAG-powered assistant for a manufacturing company — engineers query 10,000+ SOPs and manuals in natural language, cutting research time from 30 minutes to 30 seconds.
Starting from ₹80,000 — depends on document volume and access complexity.
Common questions
Straight answers — no sales fluff.
Typically 3–5 weeks for a focused knowledge base; enterprise 2–3 months.