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Semantic Video Understanding

Semantic video understanding bridges the gap of labeling, enabling a complete analysis of video content.

Introducing an Intelligent DAM

Unify your asset library across all content systems with an Intelligent, Headless DAM.

Visual Product Discovery to Increase Online Purchase Rates

Visual shopping allows shoppers to search by image, text, or a combination of both. This discovery experience uses A.I. to increase a store's purchase rate and size.

Sustainable Fashion Shopping Using Visual Search

Visual search for eCommerce stores powered by multimodal semantic A.I.

Semantic Video Search for User-Generated Content

In today's digital era, the power of storytelling is paramount for any successful marketing campaign. User-generated content (UGC) has emerged as an exceptional tool in this arena, offering authenticity, relevance, and that sought-after "human touch." However, sourcing and licensing appropriate UGC can often feel like searching for a needle in

Semantic Video Search for Video Editors

Semantic video search transforms video searching from a time-consuming chore into a rapid, precision-guided process.

Redefining Video Discovery: A Deep Dive into Semantic Video Search

Semantic video search is a technology that utilizes machine learning and natural language processing to accurately analyze, retrieve, and understand the context of video content.

Combatting Loneliness with a Therapist Discovery Tool

I often find myself struggling with feelings of loneliness and isolation. In an effort to combat these feelings, I decided to build a "therapist finder" tool. I decided to scrape the contents of Psychology Today and utilize the Mixpeek Intelligent File Store API to ask questions Build Quickly First we

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.

Enable Keyword Search Across an Entire Online Course Catalogue

We will be using Python to build an application that is capable of searching across different filetypes within an online course.

Searching PDFs in S3 Using OpenSearch and Tika

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.

Search Non-Text Files in a GitHub Repository

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.

Automated File Type Identification in an S3 Bucket with Python

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.