I will build an ai chatbot and rag knowledge base for your website

U
umarakbar611
U
umarakbar611
Umar Akbar
build an ai chatbot and rag knowledge base for your website
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build an ai chatbot and rag knowledge base for your website

About this gig

Turn your documents and website content into an AI assistant that gives useful, grounded answers.


I will build a custom chatbot with retrieval augmented generation so it can search your approved knowledge base before responding. The result is designed for customer support, internal knowledge, lead qualification, product guidance, or document assistance.


The service can include website or document ingestion, vector search, context retrieval, source aware answers, conversation memory, custom prompts, fallback behavior, a basic interface or API integration, testing, setup guidance, and source code.


Your chatbot will be scoped around the content and integrations included in the selected package. Model usage, hosting, databases, and third party subscriptions are not included.


Please message me before ordering if your content is private, multilingual, frequently changing, or unusually large. I will recommend the right package and architecture.


Let us make your information easier to find and use.

  • Bot type

    • Customer Service & Support
    • Learning & Development

  • AI engine

    • Open AI GPT

  • Programming language

    • Python

  • Tools & frameworks

    • Pinecone
    • LangChain

  • Platforms

    • Websites

Get to know Umar Akbar

Umar Akbar

AI Agent and Python Automation Developer

  • FromPakistan
  • Member sinceMar 2017

  • Languages

    English
I build practical AI agents, Python automations, research tools, and API integrations for real business workflows. My focus is clean source code, clear documentation, responsible tool use, structured error handling, and solutions that clients can understand and maintain. I can help with custom AI agents, OpenAI API integrations, function calling, web research systems, workflow automation, webhooks, structured outputs, and Python backend features. Every project begins with a clear scope, secure configuration, and honest communication about what is included.

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