DocuChat: AI-Powered Document Q&A System
Build a production-grade AI-powered document Q&A system where users upload documents, ask questions, and get answers with citations — powered by RAG (Retrieval-Augmented Generation), vector search, and OpenAI.
Build in our in-browser playground · Earn a portfolio piece
Project Description
What you'll learn
Node.js
Python
TypeScript
API Development
AI/ML Integration
Database Design
Project tasks
Project Setup, Database & Authentication
Set up the DocuChat project foundation. Configure the Express server with TypeScript and a layered architecture (controller → service → repository). Design the Prisma database schema with SQLite for development and PostgreSQL for production. Implement JWT authentication with refresh token rotation, …
RBAC, Background Jobs & External Integrations
Implement role-based access control using junction tables (not arrays) for role-permission mappings. Build background job processing with BullMQ and Redis for async work like document processing. Integrate external APIs with Axios interceptors, retry logic with exponential backoff, and circuit break…
Caching, Rate Limiting, Security & Observability
Make DocuChat production-ready. Add Redis caching with cache-aside pattern and proper invalidation strategies. Implement per-user rate limiting with token bucket and sliding window algorithms, tiered by user role. Harden security with Helmet, CORS, input sanitization, and prompt injection defenses. …
Vector Database, Document Processing & RAG Pipeline
Build the core AI pipeline that makes DocuChat what it is. Set up pgvector for vector storage with HNSW indexes. Upload documents (PDF, TXT) with multer, extract text, chunk intelligently, and generate embeddings with OpenAI's text-embedding-3-small. Build the RAG pipeline: embed user questions, ret…
HITL Systems, Agent Patterns, Memory & AI Testing
Design AI systems that are safe and reliable in production. Build a human-in-the-loop review system with confidence scoring that routes low-confidence answers to a review queue. Implement agent autonomy guardrails — action whitelists, budget caps, kill switches, and supervisor patterns. Build ReAct …
MasteringbackendCertificate of Completion
This is to certify that
Your Name
has successfully completed the course
DocuChat: AI-Powered Document Q&A System
Date
Instructor
MB TeamCertificate ID
MB-B9DH39Instructor Signature
MB Team
Verified by Masteringbackend
Platform Authority
masteringbackend.com
Earn Certificate of Completion
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Enroll NowReady to build DocuChat: AI-Powered Document Q&A System?
Start Project for FreeProject Overview
- Difficulty
- advanced
- Builders
- 2
Technologies
Prerequisites
- Solid knowledge of JavaScript and TypeScript.
- Solid knowledge of Python.
- Basic understanding of REST API design.
- Familiarity with relational databases (SQL).
- A free or paid OpenAI API key.
Real Students.
Real Success Stories.
"I truly appreciate the high-quality material in this course. The structured lessons, hands-on projects, and clear explanations make learning a great experience. I look forward to future additions and updates! Thanks for your polite and friendly attitude."
"The practical examples and hands-on exercises were particularly beneficial. They not only reinforced the theoretical concepts but also allowed me to apply them in real-world scenarios. The inclusion of best practices and common pitfalls added a practical dimension to the learning process."
"The course is an excellent resource for beginners. Your explanations of the basics are clear, making it easy for newcomers to grasp. I particularly enjoyed the task management application; it's a practical example that helps solidify the concepts."