I will build a rag knowledge base ai chatbot for your documents and data

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Val Solomko
Alcune informazioni sono riportate in lingua inglese.

Informazioni su questo servizio

I build production-ready RAG (Retrieval-Augmented Generation) systems that let your AI answer questions from your documents, databases, and knowledge bases with high accuracy.


What I deliver:

- Document ingestion: PDF, Word, Notion, Confluence, web pages

- Vector search: Pinecone, Weaviate, pgvector, Chroma

- LLM integration: OpenAI GPT-4, Claude, Llama via LangChain

- REST API: query endpoint with source citations and confidence scores

- Admin panel: document upload, index management, usage analytics


Proven results:

- GovTech knowledge base: 94% accuracy on 10K document corpus

- Legal document search: sub-500ms retrieval on 50K+ page archive

- Internal wiki chatbot: 60% reduction in support tickets


Tech stack: Python, LangChain, OpenAI, Pinecone/pgvector, FastAPI, Go, PostgreSQL


Why choose me:

20+ years of backend engineering. Clean ingestion pipelines, reliable chunking strategy, and production deployment included. No hallucinations - every answer cites its source.

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Val Solomko

I will develop Go and Java backend, AI agent, or workflow automation

  • DaUcraina
  • Membro damar 2025
  • Lingue

    Ucraino, Inglese
Senior backend engineer, 20+ yrs. Go, Java, AI integrations, workflow automation. What I deliver: - AI agents & voice bots (GPT-4, Whisper, ElevenLabs) - Go/Java REST APIs and microservices - Automation pipelines (n8n, Make.com) - Data scraping and processing - Legacy system modernization Results: 80% automation of 20K monthly support calls; GovTech AI bot with 100% Excel accuracy, 22% escalation rate. Fixed-scope or ongoing. Fast delivery, clean code.

Il mio portfolio