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I will build custom ai chatbots using langchain and rag
MuzammilHussain
About this gig
AI Chatbot Development Using LangChain, LLMs & RAG
I will build a custom AI chatbot using LangChain and Large Language Models (LLMs) to help you automate tasks and retrieve information from your own data.
What I Can Build
- PDF & Document Chatbots: Ask questions and get answers from your uploaded documents.
- Website Chatbots: Retrieve information from website content.
- YouTube Chatbots: Ask questions about video transcripts and summaries.
- RAG Applications: Retrieve relevant information using embeddings and vector databases.
- LLM Integration: Connect supported AI models and APIs to your application.
Deliverables
- Working AI chatbot based on the selected package.
- Source code with a clear project structure.
- Basic setup and execution instructions.
- Configured document processing and retrieval, where included.
- API or model integration, where included.
- Testing of the agreed functionality.
Package Scope
Basic: A simple chatbot with one agreed data source and core question-answering functionality.
Standard: A RAG chatbot with document processing, embeddings, vector search, and answers based on your data.
Premium: An advanced chatbot with expanded RAG functionality, conversational memory, selected
Get to know MuzammilHussain
MuzammilHussain
Python Developer Machine Learning AI
- FromPakistan
- Member sinceOct 2026
- Avg. response time1 hour
Languages
Urdu, English
Hi, I'm Muhammad Muzammal Hussain, a Python Data Analyst and Machine Learning Developer.
I specialize in Python-based data analysis, preprocessing, visualization, and machine learning.
I can help with data cleaning, EDA, statistical analysis, classification, regression, feature engineering, and model evaluation.
I work with Python, Pandas, NumPy, Matplotlib, Seaborn, and Scikit-learn.
I focus on clean code, clear communication, and practical solutions tailored to each client's needs.
FAQ
What types of AI chatbots can you develop?
I can develop PDF and document chatbots, website knowledge-base chatbots, YouTube transcript chatbots, and custom RAG applications using LangChain and LLMs.
Can you build a chatbot using my own documents?
Yes. I can build a chatbot that processes supported PDFs or text documents, creates embeddings, retrieves relevant content, and answers questions based on your data.
Can you build a chatbot using my own documents?
Yes. I can build a chatbot that processes supported PDFs or text documents, creates embeddings, retrieves relevant content, and answers questions based on your data.
Will I receive the source code?
Yes. Source code is included according to the selected package, along with basic setup and execution instructions.
Are API keys and hosting included?
Third-party API costs, hosting, and paid subscriptions are not included unless explicitly agreed. You may need to provide your own API key.
Can you add a user interface to the chatbot?
Yes. A user interface can be developed using Streamlit or another agreed framework, depending on your selected package.
What do you need from me to start?
Please share your chatbot's purpose, preferred AI model (if any), documents or website URL, required features, and any interface or integration requirements.
