Build ChatGPT-style Short-Term Memory using Redis inside a Production RAG application!

In this practical lesson of Phase 5 (Eval-Driven RAG Systems) from the AI Engineer 360 course, we extend our existing NestJS + Gemini + ChromaDB + Hybrid Search project by implementing Redis-powered conversation memory with Claude Code.

This isn't a new project—we upgrade our production RAG system without breaking the existing architecture.

What You'll Build
Install Redis with Docker
Connect Redis using ioredis
Session-based conversation memory
Automatic Session IDs
30-minute TTL (Auto Expiry)
Load & save chat history
Clear Memory API
ChatGPT-style multi-turn conversations
Improved Tailwind UI
Production-ready NestJS architecture

By the end of this video, your chatbot won't just answer questions—it will remember previous conversations, maintain context, and behave like a real AI assistant.

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Source Code:
https://github.com/farzeen-ali/RAG-using-Claude-Code-Nest-JS-ChromaDB-Gemini-API

Full Playlist (AI ENGINEER 360°):
https://www.youtube.com/playlist?list=PL5OhSdfH4uDtyUmg0r-F5UeQ9sineyE9t

Docker Installation:
https://youtu.be/NUAMutxc9sE?si=hdUcPW6aXE_oVDt4

Get Lecture Notes (GitHub):
https://github.com/farzeen-ali/AI-Engineer-360

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