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DataInn Technologies

Applied AI

LLM Applications & RAG

Answers your people can verify: grounded in your sources, respecting their access rights, and measured for quality.
Book a readiness callHow it works
Answer accuracy on a golden setCitation coverage and correctnessTime saved per queryAdoption and repeat usage

Overview

A useful assistant is mostly a good search system with honest answers on top. We build both halves, and measure them.

Outcomes we measure

  • Answer accuracy on a golden set
  • Citation coverage and correctness
  • Time saved per query
  • Adoption and repeat usage

Problems we solve

Sound familiar?

  1. 01

    Staff search five systems and still are not sure they have the latest policy.

  2. 02

    A pilot assistant hallucinated an answer and trust collapsed.

  3. 03

    Sensitive documents cannot be exposed to everyone who uses the assistant.

What we deliver

Concrete deliverables, not slideware.

  • Retrieval pipelines

    Ingestion, chunking, embeddings and hybrid search tuned on your content, with permission-aware filtering.

  • Assistant applications

    Chat, search or embedded experiences with citations that link back to the source.

  • Evaluation harness

    Golden questions, retrieval and answer metrics, and regression on every change.

  • Guardrails

    Prompt-injection defence, PII handling, topic boundaries and safe fallbacks.

How it works

From first call to production.

  1. 01

    Content audit

    Inventory sources, access models and the questions people actually ask.

    1–2 weeks

  2. 02

    Prototype on real content

    Build retrieval and answer generation, measured against a golden set.

    3–4 weeks

  3. 03

    Harden

    Permissions, guardrails, monitoring and the user experience.

    3–6 weeks

  4. 04

    Roll out

    Phased adoption, feedback loops and content-freshness routines.

    Ongoing

Tech & frameworks

Tools we use — in your stack.

  • Claude
  • GPT
  • Gemini
  • Azure AI Search
  • Elasticsearch
  • OpenSearch
  • pgvector
  • Pinecone
  • LlamaIndex
  • Ragas

Related projects

Where we've done this.

Case studies

Case studies for this service are being prepared. Ask us for references on a call.

FAQ

Frequently asked questions

Applied AI

Related services

All applied ai services

  • AI Agents & Agentic Workflows

    Production agents that plan, call your systems, check their own output and hand off to people.

  • Machine Learning

    Forecasting, classification and recommendation models taken all the way to monitored production.

  • Data Analytics

    Dashboards, metrics layers and self-serve analytics on governed data.

Scope it with a senior practitioner

Book a 45-minute readiness call.

Where you are, what to fix first, and what it would take.

Talk to us