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RAG Powered - Similarity Search for Government Policy Queries

Healthark Insights partnered with a prominent Indian government policy think tank, delivering a cutting-edge RAG-Powered Similarity Search solution to revolutionize government policies and documents accessibility.

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RAG Powered - Similarity Search for Government Policy Queries

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  1. CASE STUDY RAG-Powered Similarity Search for Government Policy Queries

  2. THE CHALLENGE The project aimed to design & implement a RAG-powered Similarity Search for the government sector, allowing efficient queries of a large database of policies & documents. The system was designed to enhance data accessibility, streamline policy analysis, & ensure accurate, transparent search results to support informed decision-making.

  3. HEALTHARK’S ROLE Difficulty in Efficient Information Search Healthark developed the RAG-Powered Similarity Search, designing an intuitive user interface, integrating AI-driven search algorithms, & building a robust backend to process government documents. Needs Assessment Development of Similarity Search Functionality o Parsing & Preprocessing o Chunking & Metadata Extraction o Embedding Generation o Model Selection o Hybrid Retrieval System o Integration of Multilingual Support Results, Testing & Feedback

  4. THE IMPACT Healthark Insights’ RAG-Powered Similarity Search enabled employees and stakeholders to efficiently retrieve relevant government policy information with over 98% accuracy, leveraging vector-based document representation and advanced NLP algorithms for optimized search efficiency, while supporting multilingual queries for enhanced accessibility.

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