Anivision
Computer Vision & Conversational AI platform for media discovery. We integrated SauceNAO recognition with RAG-powered (Retrieval-Augmented Generation) AI using Haystack and Pinecone to create a smart, semantically-aware anime identification ecosystem.
Anivision
Project Overview
Anivision demonstrates our team's expertise in combining computer vision with modern LLM architectures. By leveraging vector databases and Retrieval-Augmented Generation (RAG), we built a platform that not only identifies visual content with high accuracy but engages users in intelligent, context-aware conversations about their discoveries. The system processes thousands of image queries daily while maintaining sub-3-second response times.
Key Results & Achievements
95%+ recognition accuracy via proprietary Computer Vision pipeline
Sub-3-second end-to-end response times for global users
300% growth in user engagement via AI-driven recommendations
Scalable semantic search across a 100K+ vector database
Cost-optimized image processing with batch processing logic
Unique market positioning within the AI entertainment sector
Technologies Used
Key Features
High-confidence image-based character identification
RAG-powered AI chat with deep domain knowledge base
Hybrid keyword and vector semantic search engine
Personalized user history and semantic favorites tracking
Scalable microservices architecture for vision processing
Social engagement features with AI-generated reviews
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