Abstract: We present a modular, multi-hop question answering (QA) pipeline that implements a “Decompose, Route, Retrieve” architecture to synthesize information from heterogeneous knowledge sources.
Modern semantic search does not have to require a separate vector database. Data architects, database engineers, developers, or platform leaders can integrate Vertex AI and Cloud SQL vector indexes ...
Retrieval-Augmented Generation (RAG) is critical for modern AI architecture, serving as an essential framework for building ...
Woolworths is introducing semantic search capabilities into its online shopping portal to catch a trend that is seeing consumers increasingly use ecommerce sites as problem-solving tools. Semantic ...
Jeopardy! fans were quick to notice a massive flub. During the March 3 episode of the fan-favorite trivia show, the Final Jeopardy! clue was under the 20th Century Movie Memorabilia category — and it ...
This project analyzes the conformity of a machine product sheet with regulatory requirements extracted from a directive. Requirements are extracted using pattern matching on article identifiers, and ...
This project is an NLP-based Question Answering System built using Google's FLAN-T5 model. It takes user input questions and generates meaningful answers using a transformer-based deep learning model ...
Abstract: The increasing adoption of conversational interfaces and semantic technologies in education is enabling new forms of scalable, personalised, and reflective assessment. In this context, a ...
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