DHT-AI-Studio/RAPTOR
RAPTOR (Rapid AI-Powered Text and Object Recognition) is an AI-native Content Insight Engine that transforms passive media storage into an intelligent knowledge platform through automated analysis, semantic search, and actionable insights. RAPTOR reducing manual tagging by 85% and making content discovery 10x faster.
Built on a Kubernetes-native architecture with LLM orchestration and vector database integration for multi-modal content analysis (video, audio, images, text), RAPTOR uses a plugin-based processor system enabling flexible integration with multiple language models. The framework exposes RESTful APIs for semantic search, automated metadata generation, and entity recognition, while leveraging Redis clustering for distributed caching and MLflow for model lifecycle management.
Stars
13
Forks
7
Language
Python
License
Apache-2.0
Category
Last pushed
Feb 02, 2026
Commits (30d)
0
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