SID Search
|
Tags
|
Pricing model
Upvote
0
SID is an advanced AI-powered search tool that enables users to quickly locate files, emails, and messages across all their applications. Utilizing GPT technology, it effectively understands queries to retrieve required information, eliminating the need for manual organization or recalling filenames or folders. Furthermore, SID can extract data from documents without the need to open them. It ensures security and privacy by storing data locally with encryption, without SID having any access to the user's data. Currently, it is offered as a free alpha version, but a subscription will be needed later.
Similar neural networks:
Upvote
0
The Strategizing App tool offers a user-friendly drag-and-drop interface along with a robust AI wizard to aid users in crafting business strategies. It features over 20 visual templates and strategic frameworks, including the Business Model Canvas, SWOT Analysis, Lean Canvas, Ansoff Matrix, BCG Matrix, Five Forces, Gartner Magic Quadrant, Generic Strategies, and PEST. Users can create their strategic frameworks on any platform and effortlessly export them as images for emails, reports, or printing.
Upvote
0
Vetis is an AI-driven knowledge management application designed to assist users in organizing, searching, and accessing their personal notes and online resources. With the ability to store memos, documents, web pages, and reading materials, it employs an AI bot to distill essential information and deliver rapid responses via natural language Q&A. Instead of depending on folders or tags, Vetis autonomously arranges notes and retrieves pertinent information from both personal and external sources. Users can incorporate knowledge from various platforms, condense long articles, and steer clear of irrelevant content, all while maintaining a secure setting.
Upvote
0
Metal is a ready-to-use, fully-managed machine learning storage platform designed to simplify the implementation, experimentation, and utilization of embeddings within applications. It seamlessly integrates with various vector databases, manages the deployment of leading models for generating embeddings, and supports custom embeddings. Additionally, it provides OpenAI Ada for enhancing text intelligence and OpenAI CLIP for linking text and images.