RAG Development for US Businesses
RAG (Retrieval-Augmented Generation) lets a language model answer using your own documents, policies and databases instead of guessing. We build RAG knowledge assistants and RAG chatbots for the United States businesses with source citations, access control and, where needed, private or on-premises deployment so sensitive content stays inside your boundary.
What this covers
Citations
Every answer points back to the document and passage it came from.
Access control
Retrieval is filtered by permission, so users only see what they are allowed to.
Always current
Update the source documents and the system reflects it — no retraining.
Private options
Run the pipeline in your cloud tenant or on-premises for sensitive data.
How we deliver
Content audit
Assess which sources to include and what access rules apply.
Pipeline & vector store
Chunking, embeddings and a vector store sized for your scale and deployment.
Retrieval tuning
Hybrid search, re-ranking and filters — where answer quality is won or lost.
Evaluation & guardrails
Test against real questions, tune citation and refusal behaviour, enforce access.
Where it delivers value
Customer & technical support
Deflect repeat questions using your help centre and past tickets.
SaaSInternal knowledge search
Plain-language questions across policies, SOPs and wikis.
EnterpriseLegal & compliance Q&A
Query contracts and regulations with citation to the clause.
LegalStructured + unstructured search
Combine live data with unstructured descriptions in one interface.
PropertyBuilt for the United States requirements
We deliver for US startups and mid-market companies that want production AI and software without enterprise-consultancy overhead.
Hours: US Eastern and Pacific hours overlap our working morning.
Compliance: CCPA-aware handling, SOC 2-aligned engineering practices, and HIPAA-aware design for health data.
Billing: quoted and invoiced in USD with a clear written scope.
Delivery: remote-first from our Delhi engineering base — we are open about not having a local office.
What you get
Grounded, citable answers instead of confident guesses.
Stays current without retraining.
Access control enforced at the retrieval layer.
Delivered for the United States clients with cCPA-aware handling, SOC 2-aligned engineering practices, and HIPAA-aware design for health data, and uS Eastern and Pacific hours overlap our working morning.
Frequently asked questions
What is RAG development?
RAG vs fine-tuning?
Can RAG keep our data private?
How accurate is it?
More for the US businesses
Have a project for the United States?
Tell us the goal and constraints. We will tell you honestly whether we can help, and what it takes.
Book a US Consultation