East India

RAG & Knowledge Retrieval across West Bengal

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

Districts
23
PIN codes
1,147
Cities mapped
29

RAG & Knowledge Retrieval in West Bengal

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.

West Bengal runs on engineering and steel, jute and textiles, leather, tea and financial services, an older industrial base with substantial legacy-system modernisation work ahead of it. Where rag & knowledge retrieval earns its budget here usually follows directly from that mix.

Integration comes before intelligence. A model that cannot reach your systems of record is a demo with good manners. We hand over with runbooks, tests and a team that knows how it works, not a dependency.

নমস্কার , Nomoskar. We work in Bengali and English across West Bengal.

West Bengal coverage

State / UT
West Bengal
Region
East India
Districts covered
23
PIN codes covered
1,147
Cities mapped
29
Working languages
Bengali, 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 West Bengal?

Yes, all 23 districts and 1,147 PIN codes. Delivery is remote-first, so coverage is genuinely statewide rather than limited to the cities we happen to have offices in.

Which West Bengal sectors do you work with most?

Across West Bengal the economy leans towards engineering and steel, jute and textiles, leather, tea, financial services. An older industrial base with substantial legacy-system modernisation work ahead of it.

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 West Bengal

Covering all 23 districts. Tell us what you are trying to change.

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