Following the sudden growth of video content across media, entertainment, and broadcasting industries, search and retrieval of relevant video data are becoming tedious. Current methods that have been very effective in understanding and retrieving text-based content tend to fall apart when applied to the same with video content. In this regard, it is AI Frameworks, such as Retrieval Augmented Generation (RAG), that will change the way video search is handled.
At Gyrus, we specialize in AI-driven solutions for video processing, and RAG happens to be one of those frameworks that we think might redefine the future of video retrieval.
So, what makes RAG more performative than traditional search methods within the domain of video?
Learn More – https://gyrus.ai/blog/rag-vs-traditional-search-why-ai-is-the-future-of-video-retrieval/
What does RAG do?
RAG combines the strengths of traditional information retrieval systems (such as search and databases) with the capabilities of generative large language models (LLMs). Unlike traditional search engines, which rely on the keyword matching of metadata or tags, RAG combines your data and world knowledge with LLM language skills. Grounded generation is more accurate, up-to-date, and relevant to your specific needs.
This hybrid approach is especially useful in video retrieval, where both the context of visual and audio content must be understood. Traditional search engines often do not provide specific results when users are searching for specific scenes, actions, or spoken content within a video. RAG overcomes these challenges by combining retrieval with AI-generated insights.
Conclusion:
Clearly, RAG is the future of video retrieval because it initiates a new AI-based approach. How people find and engage with video content is changing and provides the opportunity for new use cases for AI Video broadcasters, streamers, and other media companies dealing with huge volumes of video data. It certainly cannot replace traditional search currently, but it has extremely significant potential for the future of video retrieval, where it can provide contextual, precise results.
We at Gyrus are very proud to be a part of this change, enabling companies to unlock the power of AI in making video search smarter, faster, and more intuitive.