Knowledge Retrieval is the process of locating and extracting relevant information from structured or unstructured data sources in response to a query. In AI research, it underpins systems such as retrieval-augmented generation (RAG), knowledge graph querying, and semantic search, where accurate retrieval of factual or contextual information is essential to model performance. Research challenges include dense and sparse retrieval methods, multi-hop reasoning over retrieved content, and retrieval in low-resource or domain-specific settings.
Most retrieval-augmented generation systems stop at documents, ignoring the relational databases that power finance, healthcare, and research. Our researchers built a rule-driven framework that learns which source to query for each question, delivering better answers at lower computational cost.
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NEC Laboratories America, Inc. (NEC Labs) is the US-based center for NEC Corporation’s global network of corporate research laboratories. Our diverse research groups collaborate with industry, academia and governments to provide disruptive solutions to complex problems. A leader in the integration of IT and network technologies with more than 100 years of expertise, NEC provides a combination of products and solutions that cross-utilize the company’s experience and global resources to meet the complex and ever-changing needs of its customers.