I will build a custom rag chatbot using langchain and your own data

E
engr_khaliq
E
engr_khaliq
Abdul Khaliq
build a custom rag chatbot using langchain and your own data
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build a custom rag chatbot using langchain and your own data
Full Screen
Full Screen
build a custom rag chatbot using langchain and your own databuild a custom rag chatbot using langchain and your own databuild a custom rag chatbot using langchain and your own data

About this gig

Most AI chatbots answer from general knowledge.


This one answers only from YOUR data your 

documents, your knowledge base, your business 

information.


That's what RAG (Retrieval-Augmented Generation) 

does and it's what separates a useful business 

tool from a generic chatbot.


What I deliver:


Custom RAG pipeline on your documents

Accurate answers with source references

Conversation memory (context-aware replies)

FastAPI backend for easy integration

Multi-document support (PDF, TXT, DOCX)

LangChain + Groq/OpenAI integration

Clean source code + documentation


Built 4 production AI systems this is my 

core specialty, not a side skill.


Message me before ordering to discuss your 

data and use case.

  • Frameworks

    • Other

  • Application Type

    • Chat

  • AI engine

    • GPT

  • Programming language

    • Python

Get to know Abdul Khaliq

Abdul Khaliq

AI Engineer RAG Systems, LangChain and LLM Integration

  • FromPakistan
  • Member sinceFeb 2025
  • Avg. response time1 hour

  • Languages

    English, Urdu
Self-taught AI engineer from Karachi who learned by building things that broke, then fixing them properly. I've built a RAG teaching assistant with exact video timestamps, an AI resume screener using hybrid search, and an ML predictor with SHAP explainability. I care if it works when someone else uses it - not impressive-sounding tech alone. I test edge cases, document my work, and fix what breaks. I work in Python, FastAPI, LangChain, and LLM integration (OpenAI, Groq) - systems that retrieve and reason accurately, not just generate text. If "works in the demo" isn't enough, let's talk.

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