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Common multimodal AI problems mapped to step-by-step recipes and tutorials
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How do I find videos that are visually similar to a reference video?
Need to implement reverse video search where users can upload a video and find similar content in your library.
Primary solution using video embeddings for similarity search
Alternative approach combining visual and audio features
Common Mistakes:
- • Using frame-by-frame comparison instead of embeddings
- • Not using scene detection to reduce costs
How do I build search that understands meaning, not just keywords?
Users want semantic search where 'cheap laptop' matches 'affordable notebook computer' even without exact keywords.
Step-by-step guide to implementing semantic search with embeddings
Combines semantic search with keyword matching for best results
Common Mistakes:
- • Only using keyword search
- • Not normalizing embeddings
- • Ignoring metadata filters for performance
How do I search images using text or find videos by describing what I want?
Need cross-modal search where queries in one format (text) find results in another (images/videos).
Primary solution for cross-modal search using multimodal embeddings
Foundation for understanding semantic similarity
How do I let users jump to specific moments in videos based on what they search for?
Users want to search video content and jump directly to relevant timestamps, not watch entire videos.
Search spoken content and jump to timestamps
Detect and search specific moments in videos
Discovery
How do I detect and remove duplicate videos or images in my library?
Need to identify near-duplicate content to clean up database, detect plagiarism, or deduplicate uploads.
Primary solution for finding and removing duplicate content
Use similarity search to detect near-duplicates
Common Mistakes:
- • Using exact matching instead of perceptual hashing
- • Setting similarity threshold too high/low
How do I group related content together automatically?
Want to organize large content libraries by automatically clustering visually or semantically similar items.
Primary solution for clustering multimodal content
Create hierarchical organization from clusters
How do I build a recommendation system that suggests relevant content to users?
Need personalized recommendations based on user behavior and content similarity.
Content-based recommendations using embeddings
Cluster content to find similar items for recommendations
Classification
How do I automatically classify videos or images into categories?
Need to tag/categorize large amounts of content without manual review.
Primary solution for multi-class classification with taxonomy
Example of category classification in fashion domain
Common Mistakes:
- • Not using pre-trained models
- • Insufficient training data
- • Imbalanced classes
How do I filter out NSFW, violent, or policy-violating content?
Need automated content moderation to ensure platform safety and compliance.
Comprehensive content moderation recipe
Step-by-step tutorial for content moderation
How do I detect and locate specific objects (products, faces, logos) in videos or images?
Need to identify where specific objects appear in visual content for analytics or search.
Detect and locate logos in visual content
Detect and search for products in images/videos
Indexing
How do I efficiently process and index thousands of videos?
Have large video library that needs to be processed for search/analysis at scale.
Efficient batch processing with parallel execution
Remove duplicates before processing to save costs
Common Mistakes:
- • Processing serially instead of parallel
- • Not using async mode
- • Processing full resolution unnecessarily
How do I make content in multiple languages searchable?
Have international content and need search to work across all languages.
Primary solution for cross-language search
Semantic embeddings work across languages
How do I extract structured information (transcripts, scenes, objects) from videos?
Need to convert unstructured video into searchable, structured data.
Extract comprehensive features and enrich documents
Extract scenes and events from videos
Optimization
How do I make search faster when dealing with millions of items?
Search is too slow on large collections, need sub-second response times.
Pre-filter with metadata before vector search for better performance
Optimize indexing and processing for scale
Common Mistakes:
- • Not using metadata filters
- • Requesting too many results
- • Not implementing caching
How do I reduce costs when processing large amounts of media?
Processing bills are too high, need to optimize without sacrificing quality.
Strategies to reduce processing and storage costs
Process scenes instead of every frame to reduce costs
How do I improve search relevance and quality?
Users aren't finding what they want - need better ranking and relevance.
Combine semantic and keyword search for better results
Optimize retrieval with advanced techniques
Integration
How do I add semantic search to my existing application without migrating data?
Have data in Postgres/MongoDB, want to add AI search without full migration.
Understand how to integrate Mixpeek with existing systems
Add semantic layer on top of existing search
How do I build a chatbot that answers questions about my video/document library?
Want users to ask questions in natural language and get answers from content library.
Complete RAG pipeline with retrieval and generation
Retrieve relevant content for context
How do I automatically process new uploads as they arrive?
Need real-time indexing of user-generated content or live feeds.
Use async processing for real-time indexing
Understand the ingestion and transformation pipeline
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