I will build a document QA knowledge base with ai powered search and citations

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mikhailesemchik
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mikhailesemchik
Mikhail Esemchi

About this gig

Turn your business documents (PDFs, policies, contracts, manuals) into a searchable AI knowledge base that answers questions with exact source citations not generic chatbot guesses.

I build the full pipeline: document ingestion, chunking, embeddings, vector search, and a FastAPI backend that returns grounded answers with references back to the source document and page.

Stack: Python, FastAPI, LangChain, ChromaDB/Qdrant, Docker.

Get to know Mikhail Esemchi

Mikhail Esemchi

LLM Apps and AI Agents Developer, Python and FastAPI

  • FromLatvia
  • Member sinceFeb 2026
  • Languages

    Russian, English, Latvian
I build production-ready AI features: LLM-powered apps, agents, and automation for real business workflows. What I can help you with: LLM chatbots with tool use, structured outputs, and guardrails. AI agents that search, reason, and take actions. RAG systems with vector databases (FAISS, Chroma, Pinecone). FastAPI backends for AI services. Data extraction and ETL pipelines. Dockerized deployment. My portfolio includes a Self-Initiated Research Agent and an AI Business Knowledge Assistant, both built end-to-end. I'm reliable, communicate clearly, and deliver working code.

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