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Implementation of AI-Powered Semantic Search Engine for Public Information Access

profil-software.com

Government

Information technology

Challenges in Public Information Access

Existing keyword-based search engine lacks semantic understanding, struggles with 1.6M+ multiformat documents (HTML/Word/PDF), and fails to handle Polish language nuances. Inefficient retrieval of relevant information and lack of contextual answers hinder citizen engagement and administrative efficiency.

About the Client

Municipal government entity responsible for managing public information systems and civic services.

Semantic Search Implementation Goals

Deploy Retrieval-Augmented Generation (RAG) system for question-answering capabilities
Create scalable vector database infrastructure for large document volumes
Implement Polish language-optimized AI models for accurate semantic search
Provide source document citations with AI-generated responses

Core System Functionalities

Natural language query processing for Polish language
Document retrieval with relevance scoring
AI-generated answers with source citations
Support for HTML/Word/PDF document formats
User-friendly interface for query input and result visualization

Technology Stack Requirements

Microservice architecture (Web/NLP/ETL services)

Kubernetes container orchestration

PostgreSQL with pgvector extension for vector database

Open-source language models with GPU acceleration

Continuous benchmarking framework

System Integration Needs

Existing document repositories (BIP system)
On-premise server infrastructure
Cloud deployment options

Performance & Scalability Requirements

High-throughput document processing pipeline
Low-latency semantic search capabilities
Secure data handling with compliance standards
Language-specific model optimization framework
Cost-effective infrastructure scaling

Expected Business Impact

Enables citizens to access public information 3x faster through intuitive question-answering interface, reduces administrative workload by 40% through automated document analysis, achieves 95%+ accuracy in Polish language queries, and establishes scalable foundation for future AI-driven civic services.