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AI-Powered Customer Support Chatbot Development

  • Posted:
  • Proposals: 54
  • Remote
  • #4506051
  • Expired
Mohsin A.David O.Awais A.MohammadReza S.Samiullah S. + 49 others have already sent a proposal.
  • 4

Description

Experience Level: Expert
Estimated project duration: 1 - 6 months
I'm seeking a Software Engineering Intern or Junior AI Developer to assist in the development of an AI-powered customer support chatbot. The project focuses on building an intelligent conversational assistant capable of answering user questions, retrieving information from knowledge bases, and providing accurate responses through modern AI technologies.
The chatbot will support web-based interactions and utilize Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) techniques to improve response quality and contextual understanding.

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Clarification Board Ask a Question

  • Naresh S.

    Hi Sairaghav,

    Will the chatbot primarily rely on a structured knowledge base with RAG, or are you expecting it to handle multi-step conversations and continuously update its knowledge as new content is added?

    Thanks,
    Naresh

  • VCONN P.

    Hi Sairaghav,

    Could you please clarify the following to help us better understand the project scope?

    1. Which LLM(s) are you planning to use (e.g., OpenAI, Anthropic, Gemini, or an open-source model)?

    2. What technology stack is the chatbot being built with (e.g., Python, LangChain, LlamaIndex, FastAPI)?

    3. Will the knowledge base already be prepared, or will the developer also be responsible for creating and indexing the RAG data?

    4. Is this a new project from scratch, or will the developer be joining an existing codebase?

    5. What is the expected project timeline and weekly commitment?

    Looking forward to your response.

    Best,
    VConn Pvt Ltd

  • CYTNHIA W.

    How do you intend to manage the knowledge base initially: static documents (PDFs, Word files, FAQs), a database, or live business systems and should updates be reflected automatically without rebuilding the embeddings?