I will build a rag chatbot for your PDF documents

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suhani_m1122
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suhani_m1122
Ishita M

About this gig

Need a chatbot that answers questions from your PDF documents? I can build a Python-based Retrieval-Augmented Generation (RAG) chatbot that searches your documents and uses an LLM to generate relevant answers.

WHAT'S INCLUDED

  • PDF text extraction and chunking
  • Embeddings and vector search
  • OpenAI API integration
  • Document question-answering workflow
  • Source code as specified in your package

PACKAGE SCOPE

  • Basic: Prototype for up to 3 PDFs.
  • Standard: Chatbot for up to 10 PDFs, including a simple web interface.
  • Premium: Chatbot for up to 20 PDFs with additional retrieval tuning.

Features depend on the package selected.

BEFORE ORDERING

Please message me with your document format, number of files, preferred interface, and requirements. I'll confirm the scope before starting.

PLEASE NOTE

Hosting, deployment, API usage costs, authentication, third-party integrations, and production-scale infrastructure are not included unless agreed separately. Answer quality depends on document quality and model behavior; perfect accuracy cannot be guaranteed.

Get to know Ishita M

Ishita M

AI Engineer specializing in GenAI and RAG

  • FromIndia
  • Member sinceOct 2026
  • Avg. response time1 hour
  • Languages

    English
AI/ML Engineer with hands-on experience building production-grade GenAI chatbots using RAG architecture, vector databases, and cloud-native AI services. Strong expertise in document intelligence, prompt engineering, hybrid retrieval (vector + SQL), and secure AI pipelines on AWS. Proven ability to design scalable, privacy-aware LLM systems with real-world integrations.

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