---
title: "M Quamer Nasim (@quamernasim) | Hashnode"
description: "Data Scientist with 3.5+ years in Computer Vision & LLMS. Expert in building RAG-Powered apps. Passionate about turning data into actionable"
url: "https://hashnode.com/@quamernasim"
---

@quamernasim

# M Quamer Nasim

@quamernasim · India · Joined April 2024

Data Scientist with 3.5+ years in Computer Vision & LLMS. Expert in building RAG-Powered apps. Passionate about turning data into actionable

### [Building a Multi-Agent System for Enterprise Customer Support with Lyzr and Qdrant](https://quamernasim.hashnode.dev/building-a-multi-agent-system-for-enterprise-customer-support-with-lyzr-and-qdrant?utm_source=hashnode&utm_medium=feed)

A multi-agent AI workflow that automates customer support with context retrieval, sentiment analysis, escalation, and semantic caching.

32 min read · [quamernasim.hashnode.dev](https://quamernasim.hashnode.dev/building-a-multi-agent-system-for-enterprise-customer-support-with-lyzr-and-qdrant?utm_source=hashnode&utm_medium=feed)

[Aug 22, 2025](https://hashnode.com/posts/building-a-multi-agent-system-for-enterprise-customer-support-with-lyzr-and-qdrant/68a84e171e88e502e92f1957)

### [Mastering RAG: Choosing the Right Vector Embedding Model for Your RAG Application](https://quamernasim.hashnode.dev/mastering-rag-choosing-the-right-vector-embedding-model-for-your-rag-application?utm_source=hashnode&utm_medium=feed)

Learn how to evaluate your RAG model and understand how performance changes with the choice of embeddings!

31 min read · [quamernasim.hashnode.dev](https://quamernasim.hashnode.dev/mastering-rag-choosing-the-right-vector-embedding-model-for-your-rag-application?utm_source=hashnode&utm_medium=feed)

[Jul 24, 2024](https://hashnode.com/posts/mastering-rag-choosing-the-right-vector-embedding-model-for-your-rag-application/66a09ed228c3e3611096936e)

### [Data Sovereignty in Vector Stores: A Deep Dive into Qdrant’s Hybrid Cloud](https://quamernasim.hashnode.dev/data-sovereignty-in-vector-stores-a-deep-dive-into-qdrants-hybrid-cloud?utm_source=hashnode&utm_medium=feed)

Learn how Qdrant's Hybrid Cloud offers data sovereignty & compliance, unifying cloud, on-premises, & edge environments into a single service

5 min read · [quamernasim.hashnode.dev](https://quamernasim.hashnode.dev/data-sovereignty-in-vector-stores-a-deep-dive-into-qdrants-hybrid-cloud?utm_source=hashnode&utm_medium=feed)

[Jun 2, 2024](https://hashnode.com/posts/data-sovereignty-in-vector-stores-a-deep-dive-into-qdrants-hybrid-cloud/665cd7578a2317ab6bcba169)

### [Enhancing Data Security with Role-Based Access Control of Qdrant Vector Database](https://quamernasim.hashnode.dev/enhancing-data-security-with-role-based-access-control-of-qdrant-vector-database?utm_source=hashnode&utm_medium=feed)

Learn how Qdrant's Role-Based Access Control (RBAC) and JWT tokens provide granular data security, ensuring proper access within company.

40 min read · [quamernasim.hashnode.dev](https://quamernasim.hashnode.dev/enhancing-data-security-with-role-based-access-control-of-qdrant-vector-database?utm_source=hashnode&utm_medium=feed)

[May 31, 2024](https://hashnode.com/posts/enhancing-data-security-with-role-based-access-control-of-qdrant-vector-database/6659944e46ad89e24890043a)

### [Hindi-Language AI Chatbot for Enterprises Using Qdrant, MLFlow, and LangChain](https://quamernasim.hashnode.dev/hindi-language-ai-chatbot-for-enterprises-using-qdrant-mlflow-and-langchain?utm_source=hashnode&utm_medium=feed)

Step-by-step guide to developing a Hindi AI chatbot with Qdrant, Ollama, FastText, Llama-3, LangChain, and MLFlow for better customer engagement.

13 min read · [quamernasim.hashnode.dev](https://quamernasim.hashnode.dev/hindi-language-ai-chatbot-for-enterprises-using-qdrant-mlflow-and-langchain?utm_source=hashnode&utm_medium=feed)

[May 2, 2024](https://hashnode.com/posts/hindi-language-ai-chatbot-for-enterprises-using-qdrant-mlflow-and-langchain/66337a7326edce6472b40206)