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LLM application and AI agent development: RAG, tools, guardrails

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Listing period11 daysuntil 24.11.2026
Posted26.08.2026
Views910 in 14 days

About the service

I create working LLM applications and AI agents that deliver business value, not beautiful demos that break on first live use. On LangChain and LlamaIndex I build retrieval-augmented generation over your documents so the model answers from your knowledge base instead of making up facts. I connect it to your systems via agents with tools: database queries, API calls, catalog search or business process triggering, all within clear boundaries you control.

My main priority is reliability. Every project gets a suite of automated quality checks on your real questions and guardrails that catch prompt injection, off-topic requests and fabricated facts before they reach users. I tune chunking, embeddings and search parameters until answers are grounded, and add tracing for agent decisions. Work starts with a short call, then a working prototype and bringing it to production with tests and docs.

— RAG over your documents with source attribution
— Agents with tools and multi-step scenarios
— Quality evaluation, guardrails and injection protection
— Integration with your database, APIs and services

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