Overview
Mixpeek’s architecture is designed for efficient, scalable processing of multimedia files across various formats. The platform handles everything from secure data ingestion to parallel feature extraction and optimized search.
Technology Stack
Our architecture leverages best-in-class technologies selected for performance, reliability, and scalability:
Temporal : Powers our workflow orchestration for fault-tolerance and reliable execution of complex, long-running processes
Ray : Enables distributed computing for efficient parallel processing of feature extraction workloads
Qdrant : Provides high-performance vector search capabilities with ANN indexing for sub-second queries at scale
DuckDB : Offers analytical capabilities with minimal overhead for comprehensive system monitoring
Docker : Ensures consistent, isolated environments for feature extractors across deployments
AWS Lambda : Facilitates secure, event-driven data ingestion from S3 with minimal configuration
AWS S3 : Provides durable storage for source objects with versioning and lifecycle management
Extensibility
Mixpeek is designed with extensibility as a core principle:
Self-hosting Options : Deploy key components on your infrastructure for enhanced control and compliance
Custom Feature Extractors : Integrate your own extractors via our standardized container interface
API-first Design : All functionality is accessible through well-documented APIs
Pluggable Authentication : Support for various auth providers including OAuth, API keys, and custom JWT solutions
Bring Your Own Storage : Connect existing storage solutions while maintaining our processing capabilities
Core Components
Data Ingestion
S3 Integration : Secure Change Data Capture (CDC) via AWS Lambda functions deployed to your account
Direct Upload : HTTP POST endpoint for direct file uploads via Bucket Object API
Scalable Storage : Efficient management of files regardless of size or format
Processing Pipeline
Temporal Orchestration : Workflow engine that manages the entire processing lifecycle
Ray Clusters : Distributed computing framework for parallel processing
Feature Extractors : Specialized processing units with dedicated resources:
Each runs in isolated Docker containers
Configurable EC2 hardware footprint
GPU/TPU accelerator support where needed
Auto-scaling based on workload
Vector Storage
Qdrant : High-performance vector database for storing extracted features
Optimized Indices : Fast similarity search across multimedia content
Multi-modal Support : Unified approach to handling different data types
Monitoring & Observability
DuckDB : Analytics engine for logging and monitoring system performance
Task Tracking : Comprehensive visibility into processing status
Error Handling : Robust recovery mechanisms for failed operations
Data Flow
Ingestion : Content enters the system via S3 integration or direct API upload
Orchestration : Temporal workflows coordinate processing based on collection configuration
Feature Extraction : Multiple extractors process content in parallel, generating specialized embeddings
Storage : Extracted features are stored in Qdrant for efficient retrieval
Search & Retrieval : Optimized vector search enables powerful content discovery capabilities
Authentication & Security
All API requests require authentication via API keys. Data is encrypted both in transit and at rest, with granular access controls at the namespace, bucket, and collection levels.
Task Management
Long-running operations are managed via our task system:
Tasks are tracked with unique IDs
Status updates are available in real-time
Failures trigger automatic retry mechanisms with configurable policies
Tasks can be monitored and controlled through dedicated API endpoints
This architecture ensures maximum performance, reliability, and scalability as your content library grows.
Questions About Our Architecture? Our engineering team is ready to help you understand how Mixpeek can fit into your specific use case.
Responses are generated using AI and may contain mistakes.