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Investigating the efficacy of Retrieval-Augmented Generation (RAG) and Corrective Retrieval-Augmented Generation (CRAG) in harnessing external knowledge to improve AI model performance and output quality.
A Chrome/Edge extension that automates random web searches on Google and Bing. Features customizable search engines, adjustable search count, and time intervals.
Text preprocessing, indexer constructions, and search engines implementation for information retrieval. Performance analysis done by measuring the construction time of indexers.
This repository contains a Python-based tool for summarizing web content using the Ollama API. It scrapes articles from URLs, cleans and processes the HTML content, and generates summaries using a pre-trained language model. The repository also includes a rich-based logging utility for improved console output.