Empowering Data and AI: Infrastructure for Complex Demands
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Retrieval-Augmented Generation (RAG) is the process of optimizing the output of a large language model with the help of relevant data.
Federated search is a technique used to simultaneously search multiple data sources.
Unified search is an advanced strategy consolidating data from diverse sources into a single, easily accessible interface.
This article presents the high-level architecture for using federated search to harness the power of AI using internal data.
A metasearch engine is an information retrieval solution that connects to multiple search engines to fetch results for the same query and then produce a blended result set.
Search relevancy is the essential technique that filters through the information, presenting users with the most accurate and applicable content.