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.
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.
Index and search a library of PDFs on each bank's 2023 market outlook.
Automated due diligence to populate your discounted cash flow model using an intelligent file store.
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.
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.
We will be using Python to build an application that is capable of searching across different filetypes within an online course.
In this tutorial, we walked through the process of building a Python script that is able to search the contents of PDF files in an Amazon S3 bucket using Apache Tika and OpenSearch.
We will be teaching how to combine the GitHub Search API with Mixpeek's Index API to search the contents of files in a repository.
We will walk through the process of building a Python script that is able to identify the file types of all the objects in an Amazon S3 bucket using the boto3 and magic libraries.