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Scope, fee and working days are published on every engagement

CorePhysix Labs Technology lab

Specification DAT·104

DAT · Data & AI Defined scope Fixed fee

Retrieval Chatbot on Your Documents

An assistant that answers from your own manuals and policies with a citation on every reply, reducing repeat support questions.

Fee · GST incl.
₹44,999
Duration
22 working days
Deliverables
7

01 Overview

A general-purpose chatbot has never seen your documents, so it fills gaps about your business with guesses. We build a retrieval-augmented assistant over the material you supply: policies, product manuals, support articles or contracts. Content is split into chunks and embedded in a vector store, retrieval is tuned against a question set you sign off, and every reply cites the paragraph it relied on. If the answer is not in the documents, the assistant says so, and we test that behaviour before handover.

02 Deliverables

7 items

What you receive at handover

  1. D01 Pipeline that ingests PDF, Word, HTML and Confluence sources
  2. D02 Vector store whose chunk sizes and embeddings suit how your documents are written
  3. D03 Retrieval and answer service that cites a source in every response
  4. D04 Web chat widget or Slack bot, as you prefer
  5. D05 Evaluation set of 50 questions, with accuracy measured before and after tuning
  6. D06 Guardrails that handle off-topic questions and attempts at prompt injection
  7. D07 Cost model projecting monthly spend at your expected query volume

03 Outcomes

What should be true once it ships

  • Answers are grounded in your documents, each with a citation to verify
  • Fewer support tickets for the questions that come up most often
  • A measured accuracy figure rather than an impression from a demo

04 Process

How the 4 stages run

  1. Gather Documents are collected, deduplicated and cleaned
  2. Build We implement ingestion, retrieval and the answering service
  3. Evaluate Responses are scored on your questions, and retrieval is adjusted
  4. Roll out A pilot group first, then wider release once accuracy holds

05 Fit & inputs

A good fit for

  • Support teams fielding identical policy queries day after day
  • Companies with extensive internal documentation that is hard to search
  • Products whose onboarding relies on reading a long manual

What we need from you

  • The document set, with clarity on which versions are current
  • 50 real questions your users ask, along with the correct answers
  • Your choice of model provider, based on what your policies allow

These inputs are collected through the technical brief in your dashboard after payment. The duration is counted from when they arrive.

06 Answers

Questions about this engagement

Grounding answers in retrieved text and having the assistant decline when it lacks one cuts this back substantially, and we measure how often it still happens. Claiming it never happens would be false, so we do not.

No. We only use providers whose terms rule out training on customer data, or run a self-hosted model where your policy demands it.

Expect roughly ₹3,000 to ₹15,000 a month, driven mainly by how many queries you handle. We work out the figure for your volumes before you commit.

This is technology work delivered digitally — nothing is shipped. Work is delivered into systems you control within the duration stated above, and the delivery and refund policies set out what happens if a date is missed.

REL Related

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Metabase Reporting Setup

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Metabase set up with a connection to your warehouse or database

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Machine Learning Feasibility Study

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Audit of data volume, quality, labelling and class balance

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GST included

₹44,999

Next step

Have a system that needs building, fixing or securing?