I will build a rag ai chatbot trained on your documents with source citations

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nachiket_9
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nachiket_9
Nachiket J
Alcune informazioni sono riportate in lingua inglese.

Informazioni su questo servizio

Need a chatbot that answers from YOUR documents, with citations, and no made-up answers? I build RAG (Retrieval-Augmented Generation) chatbots that read your PDFs, docs or website and reply only from your content, citing the source and page so your team and customers can verify every answer.


WHAT YOU GET: document ingestion (PDF, DOCX, TXT, web pages), embeddings and vector search (Pinecone, Chroma or pgvector), grounded answers with citations, a chat UI, widget, Slack or FastAPI endpoint, tested accuracy and a setup guide.


TECH: Python, LangChain, OpenAI / Gemini / open-source LLMs.


WHY ME: B.Tech in AI & ML (MIT-WPU, Pune) and AI intern at AssetCues, building RAG pipelines and agentic chatbots day to day.


PROCESS: free scoping chat, sample-data demo, milestone updates, handoff with source code and a Loom walkthrough.


Message me with your documents and goals before ordering.

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Nachiket J

AI Agent and n8n Automation Developer

  • DaIndia
  • Membro daott 2026
  • Tempo di risposta medio1 ora
  • Lingue

    Inglese
I'm Nachiket, a B.Tech AI & ML student at MIT-WPU in Pune and an AI intern at AssetCues. I build AI agents, RAG chatbots and n8n automations using Python, LangChain, LangGraph and generative AI. I focus on clear scope, fast delivery and working, documented systems that save you time.