This article explains how to use Large Language Models (LLMs) to perform document chunking, dividing a document into blocks of text that each express a unified concept or 'idea', to create a knowledge base with independent elements.
This article explores how to incorporate images into a RAG (Retrieval-Augmented Generation) knowledgebase using Large Language Models (LLMs) with vision capabilities. It provides a step-by-step guide to collecting, uploading, and transcribing images for a richer and more detailed knowledgebase.
OpenRecall is an open-source software that aims to be a privacy-focused alternative to Microsoft's Recall feature. It captures the user's digital history, processes text and images using OCR, and allows users to find specific information by searching for relevant keywords. Currently, it stores data locally but does not encrypt it. It is available for Windows, macOS, and Linux.
Web application that summarizes online content, automatically categorizes and interlinks it for easy rediscovery. Save time and build your knowledge base with Recall.
