Documents Indexed
4 fixtures
Search Method
Token match
Fixture Version
2026-Q1
Access Boundary
Public demo
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Advanced Indexing
Utilizes techniques like inverted indexes, vector embeddings (for semantic search), and metadata tagging to create a highly efficient and searchable knowledge base.
Smart Search Algorithms
Employs relevance ranking (e.g., BM25, TF-IDF), semantic search to understand context, and query expansion to retrieve the most pertinent documents quickly.
Natural Language Processing (NLP)
Enables understanding of natural language queries, extracts key entities and intents, and can summarize documents or answer questions based on retrieved content.
EPFO: Streamlined Operations & Decision Support
- Drastically reduce time spent searching for documents and records.
- Improve response times for member inquiries and grievances.
- Support faster, data-driven decision-making by providing quick access to relevant information.
- Enhance compliance by ensuring easy access to up-to-date policies and regulations.
- Streamline administrative processes like claims processing and auditing.
Research: Advancing Information Retrieval
- Develop and benchmark domain-specific NLP models for EPFO terminology.
- Research hybrid search approaches combining keyword, semantic, and graph-based retrieval.
- Explore question-answering systems over EPFO's knowledge base.
- Investigate proactive information delivery and recommendation systems.
- Publish findings on large-scale information retrieval in public administration.