---
title: "Discussion on \"Productionizing RAG: Building a Scalable AI Teaching Assistant\" | Hashnode"
description: "Discussion on \"Productionizing RAG: Building a Scalable AI Teaching Assistant\". Learn how to build a production-ready RAG AI teaching assistant using LangChain and ChromaDB, featuring optimized chunking and real-time indexing."
url: "https://hashnode.com/posts/productionizing-rag-building-a-scalable-ai-teaching-assistant/6ac0d039532ad5f6d2983f93"
---

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# [Productionizing RAG: Building a Scalable AI Teaching Assistant](https://dhairyapathak.hashnode.dev/productionizing-rag-building-a-scalable-ai-teaching-assistant?utm_source=hashnode&utm_medium=feed)

Learn how to build a production-ready RAG AI teaching assistant using LangChain and ChromaDB, featuring optimized chunking and real-time indexing.

Oct 3 · 4 min read · dhairyapathak.hashnode.dev  
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## Written by

[Dhairya Pathak](https://hashnode.com/@dhairyapathak)

@dhairyapathak · Delhi, India

  
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Building and breaking software

CS undergrad and aspiring ML Engineer. I spend my time studying core machine learning math, practicing DSA, and building AI tools. Writing here to share code, explain architectures, and document my engineering journey

## Responses 1

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[Ahmet Özel](https://hashnode.com/@ahmetozel)

[Oct 4](https://hashnode.com/posts/productionizing-rag-building-a-scalable-ai-teaching-assistant/6ac0d039532ad5f6d2983f93/comment/6ac2923a5e424f7fa8a6461f)

The 200-concurrent-query claim is the next place I would put measurement detail beside the 40% average latency reduction. Concurrent users, requests in flight and sustained completed requests per second describe different loads, especially with a hosted model behind the application.

A useful test would ramp query arrivals while ingestion is running, then report throughput, queue wait, tail latency and timed-out requests. Include both short definition questions and longer walkthroughs. That would show whether asynchronous ingestion protects query service under contention, rather than merely making the upload interface nonblocking.