I will build a document rag ai assistant with source citations and incident analysis

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florin_ityes
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florin_ityes
ityes Florin

About this gig

We build AI assistants that search your documents and link answers to source passages for human review.


Use cases include internal knowledge, procedures and incident reports. Our Aegis demonstrator connects document ingestion, hybrid retrieval, cited answers and human review using synthetic data.


Basic: local RAG pilot, up to 10 documents/100 pages, source references and 5 agreed tests.

Standard: web assistant, up to 30 documents/300 pages, hybrid search, source references, single-role login and 10 tests.

Premium: Standard plus 100 incident records, summary drafts, reviewer status and one API integration (up to 3 operations); 15 tests.


Limits apply whichever is reached first. One language, text-based PDF/TXT/Markdown, one agreed dataset. Setup notes and custom project code included. OCR, continuous sync, multiple roles and extra systems need a custom offer.


One-time implementation fee. AI/hosting and maintenance excluded. Contact us on Fiverr before ordering. Start with synthetic or approved non-sensitive data. Human validation required; no accuracy guarantee, certification or autonomous response.

Get to know ityes Florin

ityes Florin

MCP Servers, API Integrations and AI Workflows

  • FromRomania
  • Member sinceJul 2026
  • Languages

    Romanian, English, Italian
Custom software and AI integration for business operations. Services include MCP servers, REST API integrations, document-based AI assistants and workflow automation. OpenAPI specifications become focused agent tools with explicit access boundaries, authentication guidance and inspectable TypeScript deliverables. Each engagement starts with agreed scope and acceptance criteria, followed by implementation, testing, documentation and handover. The focus is practical integration with existing systems, clear communication and maintainable software.

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