Architecture

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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.

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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

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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

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Core Components

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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

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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

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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

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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

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Data Flow

1. Ingestion: Content enters the system via S3 integration or direct API upload
2. Orchestration: Temporal workflows coordinate processing based on collection configuration
3. Feature Extraction: Multiple extractors process content in parallel, generating specialized embeddings
4. Storage: Extracted features are stored in Qdrant for efficient retrieval
5. Search & Retrieval: Optimized vector search enables powerful content discovery capabilities

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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.

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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.