North India

RAG & Knowledge Retrieval across Haryana

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

Districts
19
PIN codes
314
Cities mapped
19

RAG & Knowledge Retrieval in Haryana

Permission-aware retrieval is not optional in an enterprise. If a user cannot open a document in SharePoint, the assistant must not quote it. We enforce that at the retrieval layer, not in the prompt.

Haryana runs on automotive, IT and business services, agriculture, textiles and engineering goods, the Gurugram corporate belt alongside a working auto-manufacturing cluster, which puts back-office and shop-floor automation in the same state. Where rag & knowledge retrieval earns its budget here usually follows directly from that mix.

We build the smallest thing that proves the case, put it in front of real users, and expand only what earns its keep. Six weeks to something running in production, not six quarters to a strategy document.

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

Haryana coverage

State / UT
Haryana
Region
North India
Districts covered
19
PIN codes covered
314
Cities mapped
19
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

Questions

Do you cover all of Haryana?

Yes, all 19 districts and 314 PIN codes. Delivery is remote-first, so coverage is genuinely statewide rather than limited to the cities we happen to have offices in.

Which Haryana sectors do you work with most?

Across Haryana the economy leans towards automotive, IT and business services, agriculture, textiles, engineering goods. The Gurugram corporate belt alongside a working auto-manufacturing cluster, which puts back-office and shop-floor automation in the same state.

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 Haryana

Covering all 19 districts. Tell us what you are trying to change.

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