North India

RAG & Knowledge Retrieval across Delhi

Retrieval-augmented generation over your own documents, with citations, access control and measured answer quality. Covering every district and PIN code in Delhi.

Districts
8
PIN codes
98
Cities mapped
2

RAG & Knowledge Retrieval in Delhi

A RAG system that cannot cite its source is a liability. Every answer we ship points back to the page it came from, so a reader can verify in one click.

Delhi runs on government and public administration, financial services, professional services, retail and e-commerce and media, policy, professional services and head-office functions, all of it document-heavy knowledge work, which is where copilots land first. Where rag & knowledge retrieval earns its budget here usually follows directly from that mix.

We start from the constraint, not the capability, what the system must never do, who signs off, and what happens when it is wrong. Six weeks to something running in production, not six quarters to a strategy document.

नमस्ते , Namaste. We work in Hindi and English across Delhi.

Delhi coverage

State / UT
Delhi
Region
North India
Districts covered
8
PIN codes covered
98
Cities mapped
2
Working languages
Hindi, English

What is included

  • Ingestion pipeline for your real document formats
  • Chunking and embedding strategy tuned to your corpus
  • Hybrid keyword plus vector retrieval with reranking
  • Citations on every answer, traceable to the source page
  • Permission-aware retrieval that respects existing access rules
  • Retrieval quality benchmarked against a labelled question set

RAG & Knowledge Retrieval by city in Delhi

Questions

Do you cover all of Delhi?

Yes, all 8 districts and 98 PIN codes. Delivery is remote-first, so coverage is genuinely statewide rather than limited to the cities we happen to have offices in.

Which Delhi sectors do you work with most?

Across Delhi the economy leans towards government and public administration, financial services, professional services, retail and e-commerce, media. Policy, professional services and head-office functions, all of it document-heavy knowledge work, which is where copilots land first.

RAG or fine-tuning?

RAG for knowledge that changes and must be cited; fine-tuning for style, format and task behaviour. Most production systems use RAG for the facts and light fine-tuning or few-shot prompting for the form.

How accurate will it be?

We build a labelled question set from your domain and report retrieval precision and answer accuracy against it. That number is the deliverable. We do not ship a system whose quality nobody has measured.

Can it respect our existing permissions?

Yes. Retrieval is filtered by the user's actual entitlements, so the assistant can never surface a document the user could not already open.

RAG & Knowledge Retrieval in Delhi

Covering all 8 districts. Tell us what you are trying to change.

Or email bd@dtrasglobal.com · call +91 74118 77878