Northeast India
RAG & Knowledge Retrieval across Sikkim
Retrieval-augmented generation over your own documents, with citations, access control and measured answer quality. Covering every district and PIN code in Sikkim.
- Districts
- 4
- PIN codes
- 19
- Cities mapped
- 2
RAG & Knowledge Retrieval in Sikkim
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.
Sikkim runs on pharmaceuticals, organic agriculture, tourism and hydropower, a concentrated pharma manufacturing base and organic agri certification workloads. 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. You own the code, the models where they are open-weight, and the documentation to run it without us.
Sikkim coverage
- State / UT
- Sikkim
- Region
- Northeast India
- Districts covered
- 4
- PIN codes covered
- 19
- Cities mapped
- 2
- Working languages
- 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
Districts of Sikkim
Every district has a coverage page listing its PIN codes.
Other capabilities across Sikkim
Questions
Do you cover all of Sikkim?
Yes, all 4 districts and 19 PIN codes. Delivery is remote-first, so coverage is genuinely statewide rather than limited to the cities we happen to have offices in.
Which Sikkim sectors do you work with most?
Across Sikkim the economy leans towards pharmaceuticals, organic agriculture, tourism, hydropower. A concentrated pharma manufacturing base and organic agri certification workloads.
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 Sikkim
Covering all 4 districts. Tell us what you are trying to change.
Or email bd@dtrasglobal.com · call +91 74118 77878