AI powered search assistant for business
WislaSearch is an AI-powered search assistant that centralises fragmented data, indexes and retrieves the right information instantly, and keeps everything inside your own secure infrastructure.
Companies face challenges with scattered knowledge and inefficient search. Employees waste time retrieving critical data, while most AI search solutions rely on third-party services, raising security concerns.
Our client needed a fully on-premise AI-driven search tool that integrates with internal systems while ensuring complete data privacy.
We delivered an AI-powered assistant that provides instant answers by integrating with internal data sources. The system is fully deployed on-premise, ensuring that no data is transferred externally. It supports both open-source and private AI models, giving businesses full control over their search infrastructure.
Final results
- 70% faster data retrieval.
- Full security compliance with all sensitive data kept internally.
- Scalable architecture for expansion.
- AI continuously improves search accuracy.
Our client now has a secure, autonomous search assistant that delivers precise, real-time insights while maintaining full data control.
A secure, company-aware search assistant over your own documents - no data leaving your walls.
Many enterprises struggle with inefficient knowledge management. Traditional search tools fail to provide context-aware, precise answers.
· We developed a scalable AI-driven search architecture using LlamaIndex and HuggingFace for smart retrieval, integrating the Retrieval-Augmented Generation (RAG) pattern.
· The system utilises vector-based search with ElasticSearch and Qdrant for high-speed indexing, ensuring fast, context-aware responses while maintaining full on-premise security.
· A modular API-driven design enables seamless connectivity with enterprise knowledge bases, structured databases, and unstructured document repositories.
· On-premise deployment for complete data privacy.
· Vector-based search indexing for high accuracy in information retrieval.
· API-first design for seamless integration with internal enterprise tools.
· AI-powered document parsing for understanding unstructured data.
· Self-learning models that adapt to company-specific terminology.
We developed a structured rollout plan ensuring seamless integration across departments. A phased deployment strategy minimised disruptions and maximised adoption.
Key outcomes:
· 70% reduction in search-related workload.
· Faster decision-making with instant access to key data.
· Scalable on-premise infrastructure for long-term AI enhancements.
WislaSearch has transformed internal knowledge management, making data retrieval faster, more accurate, and entirely secure.
This work is built on WislaSearch - WislaCode's own on-premise AI knowledge assistant. It is a product you can pilot in about a week, not just a one-off build.
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