Contextual Continuity: The Key to a Seamless Search Experience Improve your retention by collecting and transferring the context of a user's search to the resulting page for a seamless experience.
Your "no results" page is a goldmine: use it to drive your product Using search analytics can help inform a roadmap by identifying functionality and gaps in high demand. Mixpeek's machine learning helps understand patterns in user behavior to reduce user churn.
How do machine learning models convert inputs into vectors? Machine learning models and transformers have the ability to convert inputs, such as words or phrases, into vector embeddings. These embeddings can then be used to represent the input in a numerical form that can be used as input for various machine learning algorithms.
2023 Market Outlooks: Search and Summarize Index and search a library of PDFs on each bank's 2023 market outlook.
Automate Stock Analysis With an Intelligent Research Portal Automated due diligence to populate your discounted cash flow model using an intelligent file store.
Storing and Searching Your Stable Diffusion Images Store your Stable Diffusion, MidJourney, Dall-E and more images using a simple interface or API. Gain access to file analytics, management, visibility and more.
Searching Live Video Streams using AI Learn how to build a video streaming search engine using Python. You will write a program that accepts a video, transcribes the text and frames then converts into a vector embeddings for instant searchability.