How Mixpeek Works

Schema-backed containers for organizing multimodal objects with automatic validation and lineage tracking

Recursively crawl websites and extract multimodal content with automatic embeddings for text, code, and images

Isolated multi-tenant environments with dedicated vector storage, access controls, and complete data separation

Extract visual frames and audio transcriptions from video with 1408D multimodal and 1024D text embeddings

Vector similarity search across embeddings, including large-file inputs like videos and PDFs, with query preprocessing, multi-chunk fusion, and configurable distance metrics

Interactive AI assistant with 60+ tools for data exploration, retriever building, and pipeline debugging

Clone namespaces, collections, retrievers, and taxonomies into isolated environments to experiment safely without re-processing data

Turn raw objects into a searchable set of documents, derived from sources you never have to re-upload

Secure storage for API keys, credentials, and sensitive configuration with Fernet encryption and namespace isolation

Real-time event notifications for object ingestion, collection processing, clustering, and alert triggers with retry logic

Multimodal data units with blob storage, schema validation, and lineage tracking for downstream processing

Multi-tier DAG processing that transforms bucket objects into searchable documents with feature extraction