I will build a secure rag ai document chatbot with nextjs and python

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damshode
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Damir A

About this gig

Unlock the Data in Your Private Documents with Custom RAG AI

Stop manually searching through hundreds of PDFs. I build secure, enterprise-grade Retrieval-Augmented Generation (RAG) applications that allow you to "chat" directly with your private documents, getting instant, accurately cited answers.

Using a modern tech stackNext.js, Pinecone Vector DB, Google Gemini, and PostgreSQLI create private document vaults tailored exactly to your business needs.

Core Capabilities:

  • Smart Document Ingestion: Automated pipelines that extract, chunk, and embed your data into Pinecone for lightning-fast retrieval.
  • Multi-Modal AI Vision: Have complex PDFs? I utilize Gemini Vision to accurately describe and index images, charts, and tables so no data is lost.
  • Conversation Memory & History: Seamlessly ask follow-up questions. The AI remembers the context of the chat while PostgreSQL safely stores your session history.
  • Zero Hallucinations: Engineered with strict prompts and Hybrid Search (Vector + Keyword) so the AI only uses your data to answer.

As a professional AI Evaluator and Full-Stack Developer, I ensure your data remains secure and the AI's logic is flawless. Lets build your private AI vault

Get to know Damir A

Damir A

Full Stack Developer, Python, AI Agent Developer

5.0(1)
  • FromGermany
  • Member sinceFeb 2026
  • Avg. response time1 hour
  • Last delivery1 month
  • Languages

    English, Croatian, German
I am an Full Stack Developer, Python, AI Agent Developer with a unique blend of technical, customer-facing, and creative skills. I am experienced in leveraging AI platforms and scripting in Python and JavaScript to build and optimize AI-driven solutions.

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