How much does RAG development cost in Coimbatore?

A PoC/pilot RAG system starts at ₹1.5-3L, and production systems range from ₹5-12L. This is 30-40% lower than Bengaluru or Chennai rates because of Coimbatore's cost-of-living advantage, while our engineering quality matches metro standards.

What manufacturing use cases work well with RAG?

SOP and procedure search (floor engineers find the right procedure in seconds), quality manual retrieval (auditors pull up compliance docs instantly), maintenance troubleshooting (technicians get step-by-step guides from historical repair data), and supplier document search (procurement teams find vendor specs across thousands of documents).

Do you support Tamil and Hindi language queries?

Yes. We build multi-language RAG pipelines that handle Tamil, Hindi, and English queries against documents in any of these languages. Our chunking and embedding strategies are optimized for Indic scripts, and we use cross-lingual retrieval so a Tamil query can find an English document and vice versa.

What document types do you support?

PDFs, Word docs, HTML pages, Markdown, scanned documents (with OCR), engineering drawings, Excel sheets, Confluence/Notion exports, and structured data (CSV, JSON). We build custom parsers for proprietary formats like ERP exports or legacy system dumps.

Can the RAG system run on our private infrastructure?

Yes. We deploy on-premise or in your VPC with open-source LLMs (Llama, Mistral) and self-hosted vector databases (Qdrant, Milvus). No data leaves your network. This is especially important for manufacturing clients with trade secrets and proprietary processes.

When is RAG NOT the right solution?

RAG struggles with complex multi-hop reasoning across many documents, real-time data that changes every second, or when the answer requires deep mathematical computation. For manufacturing, if you need real-time sensor data analysis, a streaming pipeline is better. We'll tell you honestly if a different approach is better for your use case.

RAG Engineering — Coimbatore

RAG-Powered Knowledge Systems at 30-40% Lower Cost

Turn your SOPs, quality manuals, and technical docs into an AI assistant your team actually uses. Coimbatore engineering, Bengaluru-equivalent quality.

Get a RAG Architecture Plan

✓ Manufacturing-ready✓ Tamil + Hindi support✓ 30-40% cost advantage

RAG application development — retrieval augmented generation for manufacturing knowledge management

RAG Development — CoimbatoreGet RAG Architecture Plan

Trusted by Enterprise and Manufacturing Teams

Why Coimbatore for RAG

Three Pillars of Our Approach

SOP and Manual Search

Your floor engineers find the right procedure in seconds, not minutes. Hybrid retrieval across thousands of SOPs, quality manuals, and maintenance guides with citation-grounded answers.

Multi-Language Support (Tamil, Hindi)

Queries in Tamil or Hindi retrieve answers from English documents and vice versa. Cross-lingual embeddings and retrieval optimized for Indic scripts. Your workforce uses their preferred language.

Cost-Effective RAG Architecture

Coimbatore's cost advantage means 30-40% lower development costs without compromising engineering quality. Same evaluation pipelines, same production standards, smaller price tag.

What We Build

RAG Systems for Manufacturing and SMEs

Manufacturing SOP Assistant

5K+ standard operating procedures indexed with hybrid retrieval. 89% answer accuracy with citation links. Floor engineers find the right procedure in seconds instead of flipping through binders.

Hybrid RetrievalOCR PipelineTamil + English

Supplier Knowledge Base

Vendor documents, compliance certificates, and spec sheets searchable in one place. Procurement teams pull up the right supplier info across thousands of documents instantly.

Multi-Source RAGCompliance SearchMetadata Filtering

HR Policy Bot

Employee self-service for 2K+ staff across multiple plants. Answers questions about leave policy, benefits, and company procedures in Tamil, Hindi, and English. Reduced HR ticket volume by 55%.

Multi-Language RAGConfidence ScoringEscalation

"Cartoon Mango was great to work with. They improvise and provide 24X7 support."

— Gaurav Saxena, Media Manager, BCCI

Architecture

Our RAG Stack

Layer 1

Ingestion

Smart chunking strategies (semantic, recursive, parent-child). Metadata extraction for filtering. Support for PDF, DOCX, HTML, Markdown, scanned documents with OCR, and custom formats.

Layer 2

Retrieval

Vector search (OpenAI, Cohere embeddings) + BM25 hybrid retrieval. Cross-encoder reranking for precision. Query expansion and HyDE for recall improvement. Cross-lingual retrieval for Tamil/Hindi.

Layer 3

Generation

Claude/GPT with citation-grounded prompts. Guardrails for hallucination prevention. Structured output with source references and confidence scores. Multi-language response generation.

Layer 4

Evaluation

Automated relevance scoring, faithfulness checks, and hallucination detection. Continuous monitoring with human-in-the-loop feedback. Regression testing in CI.

20+

RAG Systems

30-40%

Lower Cost

vs Bengaluru / Chennai rates

89%

Answer Accuracy

across production deployments

<3s

Response Time

end-to-end retrieval + generation

Our Process

From Corpus Audit to Production in 8 Weeks

Week 1-2

Corpus Audit & Design

Analyze your document corpus (SOPs, manuals, policies), define chunking strategy, design retrieval architecture. Build evaluation dataset with your team.

→ RAG Architecture Plan

Week 3-5

Pipeline Development

Build ingestion pipeline with OCR support, vector store, retrieval chain, and generation layer. Weekly accuracy demos with your evaluation dataset.

→ Working RAG Pipeline

Week 6-7

Optimization & Integration

Tune retrieval quality, add multi-language support, integrate with your existing systems. Load testing and edge case handling.

→ Production-Ready System

Week 8

Deploy & Monitor

Production deployment with monitoring dashboards, alerting, and evaluation pipelines. Team training and 30-day support included.

→ Live Deployment

Investment

Transparent Pricing

30-40% lower than metro rates. Exact costs depend on corpus size and retrieval complexity — we provide a detailed estimate after the architecture audit.

PoC / Pilot

₹1.5-3L3-5 weeks

Single-source RAG pipeline with evaluation. Prove accuracy on your SOP or manual corpus before committing to production build.

Production System

₹5-12L8-12 weeks

Multi-source RAG with hybrid retrieval, multi-language support, reranking, guardrails, evaluation pipelines, and production deployment.

Enterprise

On RequestScoped per engagement

Multi-plant RAG platform with on-premise deployment, custom security, multi-language support, team training, and long-term support.

Why Us

Coimbatore Engineering, Metro-Grade Quality

Manufacturing domain knowledge

We understand SOPs, quality systems, and shop-floor workflows. Our RAG pipelines are built for how manufacturing teams actually search for information.

Evaluation pipelines from day one

Every RAG system ships with automated evaluation — retrieval relevance, answer faithfulness, and hallucination detection in CI. No guesswork on accuracy.

Private deployment for trade secrets

Your proprietary processes stay on your infrastructure. On-premise deployment with open-source LLMs. No data leaves your network.

FAQ

Common Questions

A PoC/pilot RAG system starts at ₹1.5-3L, and production systems range from ₹5-12L. This is 30-40% lower than Bengaluru or Chennai rates because of Coimbatore's cost-of-living advantage, while our engineering quality matches metro standards.

We Have Delivered 100+ Digital Products

Sports and Gaming

IPL Fantasy League

Innovation and Development Partners for BCCI's official Fantasy Gaming Platform

Banking and Fintech

Kotak Mahindra Bank

Designing a seamless user experience for Kotak 811 digital savings account

News and Media

News Laundry

Reader-Supported Independent News and Media Organisation

Client Testimonials

What Our Partners Say