Vidit Dhull@Vidit_Dhull

QueryPDF is a groundbreaking project, seamlessly merging advanced technologies to redefine PDF exploration. Users effortlessly upload PDFs, initiating a process where document embeddings are generated and stored in a powerful vector database. This innovative approach enables efficient and accurate vector searches, swiftly identifying the most relevant parts of the document. The heart of QueryPDF lies in its integration with GPT-4, a state-of-the-art language model. When users pose questions, the system leverages vector search results and feeds them into GPT-4 for natural language response generation. The synergy between vector search, document embeddings, and GPT-4 ensures not only precision but also the contextual richness of the responses. Whether navigating complex research papers, legal documents, or information-rich PDFs, QueryPDF offers a user-friendly interface that empowers individuals to interact intelligently with their documents. It represents a harmonious convergence of vector database technology and cutting-edge natural language processing, delivering an unparalleled experience in document exploration and understanding.

🚀 Tap into OpenAI's models for diverse app needs: text and image generation, text-to-speech, vision, and more! 🧑🏻‍💻 Go one step further. Get your application ready for production using TruLens evaluations! 🤝 Work in teams of 1 to 6 members, fostering community connections! 🏆 Prize Pool: $2,500 in Cash and $2,500 in Portkey Credits! 💡 Extend beyond the Hackathon—build your startup with support and opportunities beyond the initial project.

Build with Phi-2, Microsoft’s new language model powered by impressive NLP which gained recognition from over 300k users 🔥 🕒 24 hours to complete the challenge 💡 Implement any idea that uses Phi-2 in its core 🤝 Take part alone or form a team with other participants 🚀 The final project can be used for your portfolio, and the startup application to the Slingshot accelerator

• 🕒 24 hours of commitment • 🤝 Take part alone or form a team with other participants • 🚀 Learn to create your own basic app with CustomGPTs, or try the open-source alternative from LangChain • 🧑🏻‍💻 Even without coding knowledge, you can easily create your own GPT. However, if you're familiar with coding, you can leverage it to enhance your custom GPT and take it to new heights of performance