Your Sunday, upgraded. Free live AI class · 5 PM ISTReserve your seat
Join free class
Build / AI Applications
PRODUCT BUILD · PROPOSED

Build a Document Q&A

Upload documents and ask questions with answers that cite the source.

PRODUCT BUILDING COURSE10 hours
Choose how to learn

Live, interactive classes with time for every learner's questions and code reviews.

Request this batch A 5–10 learners batch starts once enough learners ask. You confirm and pay only when dates are set.
AI ApplicationsBeginner4 modulesAI featureEnrolment not yet open
Build it live on SundaySee the learning steps
AT A GLANCE

What this build involves.

Prerequisites

Python basics and calling a REST API. No machine learning background needed.

Difficulty
Beginner
Build type
Quick build
Formats
Webapp, Browser extension, API
Build stages
Concept → POC → MVP
Learning formats
Self-paced project, Live workshop
Stack
Python · FastAPI + LangChain · PostgreSQL + pgvector · Docker

Only need the code? The document Q&A source code is sold separately for ₹899. Request the source code — availability is confirmed before you pay.

DEMO

See what you will build.

A recorded walkthrough of the finished document Q&A is shared when this build opens. Register interest to be told first.

FEATURE CHECKLIST

Included modules.

  • Document upload
  • Chunking & embeddings
  • Cited answers
  • Conversation history
  • Authentication and user roles
  • Deployment to Docker
LEARNING STEPS

Seven units, from concept to improvement.

  1. 01

    Concept

    Who uses a document Q&A, what problem it solves and the use cases you will support.

  2. 02

    Fundamentals

    Python, FastAPI + LangChain and PostgreSQL + pgvector, plus the data model and architecture for this product.

  3. 03

    POC

    A working demonstration of document upload.

  4. 04

    Feature build

    Chunking & embeddings, Cited answers, Conversation history, with authentication and data validation.

  5. 05

    Complete project

    All 4 modules connected into one usable webapp.

  6. 06

    Production implementation

    Deploy the MVP to Docker with a README and basic tests.

  7. 07

    Improvement challenge

    Measure answer quality with an evaluation set and cut cost per answer by half.

WAYS TO LEARN THIS BUILD

Start small or go all the way.

01

Free micro lesson

The data model behind document upload

02

Microcourse

Build the document upload module

03

Live workshop

Build chunking & embeddings live, step by step

04

Self-paced project

Document upload → Chunking & embeddings → Cited answers → Conversation history

05

Mentorship

Review of your architecture and code

BUILD IT LIVE

Build the core of this product with Ajay, live.

The Sunday workshop “Build a RAG Application” builds the heart of this product step by step. Join it first, then extend it into the full build below.

See dates and register
Workshop
Build a RAG Application
Date
Sunday, 12 December 2027
Sessions
English 11 AM–2 PM · Hinglish 8 PM–11 PM IST
You leave with
Leave with a working rag application with sample inputs and verification notes.
REPOSITORY & REVIEW

What you get, and how it is checked.

Repository access

Enrolled learners get access to the starter repository: project structure, database schema, sample data and a setup guide, plus a reference solution for each unit.

Review criteria

  • Every feature on the checklist works end to end
  • Data model and architecture are explained in the README
  • Inputs are validated and access is restricted to the right users
  • Key flows are covered by automated tests
  • The app is deployed and reachable from a public URL
  • Interfaces meet basic accessibility checks

Improvement challenge

Measure answer quality with an evaluation set and cut cost per answer by half.

Project mentorship

Architecture, debugging and implementation reviews with Ajay.

Explore mentorship
AFTER YOU FINISH

A certificate, and support for what comes next.

Finishing this build is planned to include the support below. It opens with the first batch; enrolment pages confirm what is included before you pay.

Completion certificate

Issued with a unique ID once your final project passes review. It records what you built, not just attendance.

Certification policy

Job-readiness support

Portfolio and GitHub review, resume feedback, a mock interview and referrals when suitable openings come up. No placement guarantee.

Career mentorship

Freelancing support

Guidance on pricing, proposals and your first client project, plus a review of your freelance profile and portfolio.

Build client-style projects

Startup community

An invite to the Innovate with Ajay community to meet builders, find co-founders, join hackathons and get feedback on product ideas.

Explore the community
YOUR NEXT LEARNING STEP

Want to learn this?

Share your interest. We’ll confirm availability, batch dates and the fee separately, so you can decide when the details are ready.

  • Your course is already selected
  • Just your name and email to get started
  • No payment or booking commitment
Looking for a different course? Tell us →

Get availability updates.

YOU’RE INTERESTED INBuild a Document Q&A
Add learning preferences Optional

No payment now. Availability, dates and the fee are confirmed separately. We’ll use these details to reply. Privacy policy

Prefer a quick chat?Ask on WhatsApp (opens a new tab)
RELATED BUILDS

More in AI Applications.

Tech, Junior

Website AI representative

What you build
An assistant on a website that answers visitor questions from the site's own content and hands off to a human.
Prerequisites
Python basics and calling a REST API. No machine learning background needed.
Stack
Python · FastAPI + LangChain · PostgreSQL + pgvector
  • Content ingestion
  • Grounded answers
  • Lead capture
  • Human handoff
Final deliverableA working website AI representative with content ingestion, grounded answers, lead capture and human handoff, tested and deployed to production.
Intermediate4 modulesWebapp, Browser extension, API
From₹588₹1,18851% off· 12 hours
View projectRequest
Tech, Senior

Knowledge assistant

What you build
An internal assistant over company knowledge with permissions and evaluation.
Prerequisites
Python basics and calling a REST API. No machine learning background needed.
Stack
Python · FastAPI + LangChain · PostgreSQL + pgvector
  • Connectors
  • Retrieval pipeline
  • Access control
  • Evaluation set
Final deliverableA working knowledge assistant with connectors, retrieval pipeline, access control and evaluation set, tested and deployed to production.
Advanced4 modulesWebapp, Browser extension, API
From₹588₹1,18851% off· 12 hours
View projectRequest
Tech, Junior

Meeting notes assistant

What you build
Turn meeting recordings into summaries, decisions and action items.
Prerequisites
Python basics and calling a REST API. No machine learning background needed.
Stack
Python · FastAPI + LangChain · PostgreSQL + pgvector
  • Audio upload
  • Transcription
  • Summaries & action items
  • Task export
Final deliverableA working meeting notes assistant with audio upload, transcription, summaries & action items and task export, tested and deployed to production.
Intermediate4 modulesWebapp, Browser extension, API
From₹588₹1,18851% off· 12 hours
View projectRequest
NOT SURE WHERE TO START?

Learn the skills first, then build.

Pick up Python and FastAPI + LangChain in the course catalogue, or follow a full role path.

Browse courses
Chat with Ajay