I will build a rag chatbot trained on your documents and knowledge base

V
vadym_nahornyi
V
vadym_nahornyi
Vadym

About this gig

AI assistant that answers from YOUR data PDFs, docs, web, Notion, Confluence.


I build production-ready RAG (Retrieval-Augmented Generation) chatbots using LangChain/LlamaIndex + vector databases (Pinecone, ChromaDB, OpenSearch).


What you get:




Tech stack: LangChain, LlamaIndex, Pinecone, ChromaDB, OpenSearch, OpenAI, Claude API, FastAPI, Python


Why me:




Message me with your use case I'll tell you exactly what's possible and how long it takes.

Get to know Vadym

Vadym

AI Automation n8n Developer Solution Architect

  • FromSpain
  • Member sinceJul 2025
  • Avg. response time1 hour
  • Languages

    English, Russian, Ukrainian, Spanish
I build AI automations that work in production and stay working. n8n creator, ML Engineer, Senior QA Engineer. 5+ years in banking tech, PhD in Mathematics. What I deliver: - n8n workflow automation: CRM, email, messengers, databases - AI assistants and chatbots: Claude API, OpenAI, RAG systems - Web scraping pipelines: scheduled, monitored, clean output - Full infrastructure: AWS, self-hosted servers, Docker, CI/CD, SSL Recent: news scraping system across 40 locales, hourly schedule, zero downtime. One person, full cycle: architecture, build, test, deploy, monitor.

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