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$
USD
I will build a custom rag chatbot from your documents or website on openai, langchain
Syed Ahmed
About this gig
Need a smart AI chatbot that can answer from your documents or website?
I will build a custom RAG chatbot using GPT, DeepSeek, and Pinecone for accurate, context-aware responses tailored to your data.
What Youll Get:
Custom RAG chatbot using GPT/DeepSeek
Integration with PDFs, websites, or Notion
Pinecone vector DB for semantic search
Context-aware, dynamic answers
Optional UI/API deployment
Tech Stack:
LLMs: OpenAI GPT, DeepSeek
Vector DB: Pinecone, FAISS
Frameworks: LangChain, LlamaIndex
Tools: Python, FastAPI, Streamlit, Flask
Use Cases:
Document-based Q&A bots
Business support chatbots
Internal knowledge assistants
Website chatbots with memory
I focus on scalable, production-ready AInot just MVPs. Every bot is tailored to your needs.
Contact me before ordering for the best results.
Get to know Syed Ahmed
Syed Ahmed
Building Smart AI Solutions with Scalable Code
- FromPakistan
- Member sinceJul 2025
- Avg. response time3 hours
Languages
Urdu, Punjabi, English
Hi, I'm Syed Ahmed Hassan — an AI/ML Engineer with hands-on expertise in NLP, Computer Vision, and full-stack development. I build intelligent, scalable solutions using modern AI frameworks and tools. Whether you need a custom chatbot, machine learning model, or complete AI integration, I'm here to help. Let’s bring your idea to life.
Portfolio Website URL: https://syed-ahmed-portfolio.lovable.app/
My Portfolio
Other AI Development Services I Offer
FAQ
Q: What is a RAG chatbot?
A: A RAG (Retrieval-Augmented Generation) chatbot combines large language models (like GPT or DeepSeek) with your own data sources (PDFs, websites, databases, etc.) to provide accurate, context-aware responses.
Q: What kind of data can you connect the chatbot to?
A: I can integrate your chatbot with PDFs, Notion pages, DOCX files, websites, CSVs, and even databases, depending on your use case.
Q: Can the chatbot be deployed to my website or server?
A: Yes. I offer deployment options using platforms like Vercel, AWS, or your preferred server. This is included in higher-tier packages or as an extra.
Q: Will I get the source code?
A: I primarily work with GPT-4, GPT-3.5, DeepSeek, and other open-source LLMs via LangChain or LlamaIndex.
Q: Does the chatbot have memory or personalization?
A: Yes. In premium packages, I include session memory so the bot remembers the user’s past queries during a session for more natural conversations.
