82

HyperSearch AI

HyperSearch takes the Youtube viewer's experience to the next level, harnessing the power of semantic search and retrieval augmented generation. It's a game-changer in how we access and consume video content.

Tech Stack

Frontend
  • HTML, CSS, JS
  • React.js
  • Chrome Web Store Integrations (Content Scripts)
Backend
  • Firebase (Firestore database + Cloud Functions)
  • Python + Flask (for building APIs)
  • OpenAI Embeddings + Chat API
  • Pinecone Vector database API

Imagine if you could ask about any topic in a long podcast on Youtube, and find clips that talk about it. Here's how you can do that with this AI tool I built.

Recently I've been working on developing Retrieval Augmented Generation (RAG) systems into my apps that use LLMs.

I'm thrilled to announce the launch of a powerful AI tool I've been working on, called HyperSearch. šŸ”āœØ

šŸš€ HyperSearch takes the Youtube viewer's experience to the next level, harnessing the power of semantic search and retrieval augmented generation. It's a game-changer in how we access and consume video content. Here's how it works:

šŸŒ Semantic Search at Its Best šŸŒ HyperSearch leverages vector search, a form of semantic search, to understand the context and meaning behind your queries.

This means you'll get results that are not just keyword-matched like the normal Youtube Transcript, but are contextually relevant, making search faster and more accurate. Not only that, but this also means that HyperSearch supports multi-language search, even if the original video is in another language.

šŸ”— Augmented Generation šŸ”— But that's not all! HyperSearch doesn't just stop at fetching results; it goes a step further. It provides you with summarized responses that are generated using state-of-the-art LLMs.

These summaries serve as a concise answer to your question using the search results, helping you save time and making complex information more accessible.

šŸ“š Clips for Context šŸ“š Ever wondered where these generative AI summaries come from? I've seen so many bare "GPT3 Wrapper" tools that just feed the entire video transcript to the LLM to get a response. This not only is drastically slower, but also leaves room for innacurate results and hallucinations.

HyperSearch on the other hand has an incredible feature that allows you to access the source clips, that you can click on to watch the context of where this answer came from. This ensures transparency and gives you the ability to dive deeper into the content as needed.

I built HyperSearch to help you āœ… Speed up your research process
āœ… Make sense of complex videos quickly
āœ… Access context and source clips easily (perfect for content creators)
āœ… Stay ahead in your field by staying informed

šŸ“¢ Ready to Try It Out? šŸ“¢ HyperSearch is now live and ready for you to explore. Join me in this exciting journey towards smarter, more efficient information retrieval.