OpenAI Select PartnerAI Engineering Services
RAG Development Company in India
Retrieval-augmented generation (RAG) lets an AI model answer from your own documents, policies and records instead of guessing. We build RAG systems that find the right passages, cite them and say when the answer is not there.
- What
- RAG Development Company in India, run by Creuto.
- Where
- Headquartered in Bhubaneswar, Odisha, India, working with clients across India and in the US, UK, Australia and Vietnam.
- Recognition
- Ranked #1 software development company in Odisha on GoodFirms (October 2026), OpenAI Select Partner, 5.0 on Clutch from 16 verified reviews.
- Who leads it
- Founder and CEO Nihar Ranjan Rout: 8+ years in product, 50+ products shipped.
- How it starts
- A free 30-minute call, a written proposal within 24 hours, a PRD, then a first working version in about 4 weeks.
What our RAG development services cover
Knowledge assistants
Staff or customers ask questions and get answers from your documents, with the source shown.
Document ingestion pipelines
PDFs, Word files, web pages, tickets and databases cleaned, split and indexed for search.
Search that understands meaning
Semantic and keyword search combined, so the right passage is found even when the words differ.
Access-aware answers
Users only see answers drawn from documents they are allowed to read.
Evaluation and monitoring
Test sets and dashboards that track accuracy, missing answers and cost over time.
Key features we build into rag development projects
Answers with sources
Every answer shows the document and passage it came from.
Hybrid search
Meaning-based and keyword search combined for better retrieval.
Many source types
PDFs, Word files, websites, tickets, spreadsheets and databases.
Permission-aware results
Answers respect who is allowed to read each document.
Freshness
New and changed documents picked up automatically.
Accuracy testing
A test set of real questions run before every release.
How we approach RAG Development
We start with the questions people really ask and the documents that should answer them. We clean and index those sources, test retrieval before any answer is generated, then add citations and a clear "I do not know" when the sources are silent. Every release is checked against a test set of real questions, so accuracy is measured rather than assumed.
When this is a good fit
A good fit when
- Your team spends time searching manuals, policies or past tickets for answers.
- You want an AI assistant that cites sources and does not invent facts.
- Your knowledge changes often, so retraining a model would be impractical.
Why choose Creuto for rag development
Founder-led from day one
You speak with Nihar Ranjan Rout, who scopes and leads your rag development project, not a sales team.
A written plan before code
A proposal within 24 hours of the first call, then a PRD that fixes scope, priorities and milestones.
Working software early
A first working version in about 4 weeks, then improvements in milestones you can see and test.
Recognised by clients
Ranked #1 software development company in Odisha on GoodFirms, OpenAI Select Partner, 5.0 on Clutch from 16 verified reviews.
How an engagement works
- 01
Scope
A free strategy call, then a clear proposal with scope and priorities.
- 02
Plan
A PRD and, where useful, a clickable prototype before building starts.
- 03
Build
An in-house team builds in stages, with demos along the way.
- 04
Launch and improve
Release, then keep improving with the people who built it.
Technology we use for rag development
- OpenAI
- Python
- Node.js
- PostgreSQL
- Redis
- React
- AWS
- Azure
How we keep quality and security high
Code review on every change
A second engineer reviews code before it is merged.
Testing before each release
Key flows tested on real devices and browsers, with automated checks where they pay off.
Security basics built in
Access control, encrypted connections and secrets kept out of code from the first sprint.
Staged releases
Changes go to a staging environment for your review before they reach users.
Documentation
Setup notes and decisions written down, so your team or any future team can maintain the product.
Support after launch
A 60-day warranty after launch, then an agreed plan for maintenance and new work.
Questions about RAG Development
Are you a RAG development company in India?
Yes. Creuto is a founder-led software, mobile app and AI development company in India, headquartered in Bhubaneswar. We provide RAG development services for startups and businesses across India and abroad, and you work with Nihar Ranjan Rout directly, starting with a free 30-minute call.
What is RAG in simple terms?
RAG is a way for an AI model to look up the relevant parts of your documents for each question and answer from them, rather than relying only on what it learned during training.
RAG or fine-tuning?
RAG suits knowledge that changes and answers that must cite sources. Fine-tuning suits teaching a model a style or format. Many systems use RAG alone; our guide on RAG vs fine-tuning explains the choice.
Can RAG work with documents in Hindi or Odia?
Yes. Modern models handle many Indian languages, and we test retrieval and answers in the languages your users actually use.
How much do RAG development services cost?
It depends on scope, platforms and integrations. Use the free app timeline calculator to see how long it takes, or book a call and get a written proposal within 24 hours.
How long does it take to build a RAG assistant?
A focused pilot on one set of documents can be working in a few weeks. Larger systems with many sources and permission rules take longer, and the written proposal sets out the plan.
Will our documents be used to train the AI model?
No. With RAG your documents are looked up at question time, and we use provider settings that do not train on your data.
What if the answer is not in our documents?
The assistant says so and, where useful, routes the question to a person, instead of guessing.
Do you sign an NDA before we share our idea?
Yes. We sign an NDA before discovery, so you can share your idea, data and plans openly.
What happens after the rag development project launches?
There is a 60-day warranty after launch for fixes. After that we agree a support plan covering updates, monitoring and new features.
Do you work with clients outside India?
Yes. We work with clients across India and in the US, UK, Australia and Vietnam, with calls planned around your working day.
Guides on this topic
- Enterprise AI
RAG vs Fine-Tuning: Which One Does Your AI Product Need?
What RAG and fine-tuning each do, how they differ in cost, accuracy and freshness, and how to choose for your AI product.
Read the guide - Enterprise AI
How to Reduce AI Hallucinations in Business Reports and Apps
Why AI models hallucinate and the practical techniques that reduce it: grounding, citations, refusal rules, checks and testing.
Read the guide - Enterprise AI
How to Build an AI Chatbot for Your Business: Step by Step
A step-by-step plan to build an AI chatbot that answers from your own documents, with sources, guardrails and a safe pilot.
Read the guide
Who you’ll work with: Nihar Ranjan RoutFounder & CEO of Creuto. 8+ years in product, 50+ products shipped. Read the story
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