How Mixpeek Uses Qdrant for Efficient Multimodal Feature Stores

About Mixpeek

Mixpeek is a multimodal data processing and retrieval platform designed for developers and data teams. Founded by Ethan Steininger, a former MongoDB search specialist, Mixpeek enables efficient ingestion, feature extraction, and retrieval across diverse media types including video, images, audio, and text.

The Challenge: Optimizing Feature Stores for Complex Retrievers

As Mixpeek’s multimodal data warehouse evolved, their feature stores needed to support increasingly complex retrieval patterns. Initially using MongoDB Atlas’s vector search, they encountered limitations when implementing hybrid retrievers combining dense and sparse vectors with metadata pre-filtering.