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International intergovernmental organization that operates in over 150 countries, working in areas such as poverty, governance, and environment, with a strong focus on gender equality and women's empowerment.
Public Sector / Government
The GenAI Search solution transforms how stakeholders interact with vast, complex datasets related to global gender equality. By integrating Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and SQL query generation, the solution provides instant, precise, and context-aware search results. Decision-makers, policymakers, and analysts can now efficiently retrieve key insights—whether identifying funding partners for gender initiatives, analyzing financial reports on women, security, humanitarian action, or tracking systemic outcomes. The solution simplifies complex queries, accelerates search processes, and enhances engagement, enabling users to make informed decisions with ease.
The client required a GenAI-driven search module to optimize data retrieval within their Transparency Portal. The system needed to integrate seamlessly with existing data sources, enhance search capabilities, and maintain high performance while ensuring data security.
The GenAI search solution followed a three-phase roadmap:
This multifaceted approach ensures that users can retrieve information through natural language queries without requiring technical knowledge of database structures or query languages. The system intelligently determines whether to process a request through direct text analysis or database querying, providing the most accurate and efficient response.
The client required a GenAI-driven search module to optimize data retrieval within their Transparency Portal. The system needed to integrate seamlessly with existing data sources, enhance search capabilities, and maintain high performance while ensuring data security.
The GenAI search solution followed a three-phase roadmap:
This multifaceted approach ensures that users can retrieve information through natural language queries without requiring technical knowledge of database structures or query languages. The system intelligently determines whether to process a request through direct text analysis or database querying, providing the most accurate and efficient response.