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SoftBlues

Project Showcase

Real-world AI implementations delivered by our expert network.

5 projects found

2024–2025Yurii K.

AI-Powered First-Line Support Agent (RAG)

AI Engineer

The project involved developing an intelligent automation system to handle Tier-1 customer inquiries for a microsite building platform. By leveraging advanced Retrieval-Augmented Generation (RAG), the system analyzes a knowledge base of over 280 articles to provide instant and accurate responses. The solution was designed to solve scalability challenges by automating repetitive, low-complexity questions that previously overwhelmed the human support team.

LangChainPostgreSQLDockerPython
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2025Oleksandr N.

High-Load Enterprise Ingestion & Inference Platform

AI Lead Engineer

Led the architecture and development of a scalable, multi-tenant RAG (Retrieval-Augmented Generation) platform designed to ingest and index massive volumes of heterogeneous enterprise data. The system enables automated monitoring of client-defined storage, transforming unstructured data into a queryable knowledge base powered by a variety of Large Language Models.

PythonDockerPostgreSQLLangChain
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2025Oleksandr N.

AI Agents Management & Orchestration Control Plane

AI Engineer

Developed a centralized, production-grade management platform (Control Plane) for the lifecycle management of specialized AI agents. The system provides a unified web interface for defining agent personas, deploying them across diverse environments, and monitoring their performance and token consumption in real-time.

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2025Oleksandr N.

AI-Powered Multi-Modal City Guide

AI Lead Engineer

Architected and launched a mobile-first, multi-modal AI travel companion that generates dynamic, location-aware storytelling. The platform utilizes generative AI to create historical narratives for points of interest, translates content in real-time, and synthesizes high-quality audio guides for a hands-free user experience.

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2025Oleksandr N.

No-Code Knowledge Ingestion & Semantic Search

AI Engineer

Engineered a lightweight, no-code RAG solution to bridge the gap between static cloud storage and interactive AI. The system monitors Google Drive directories, automatically ingesting newly uploaded documents of various formats into a vector database to enable natural language querying.

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