Zhiheng Huang

Denser Chat enables interactive PDF chat, complete with highlighted source passages—a feature that’s truly resonating with AI developers in the open-source space. Our Reddit post has garnered over 13K views and sparked many insightful conversations in the Reddit community. https://www.reddit.com/r/LangCha...

🚀 Join Our Exclusive Testing Event! We’re looking for AI developers to explore and provide feedback on the capabilities of Denser Retriever. If you’re passionate about AI and have a ChatGPT Plus account, this is your chance to get involved! Earn $50 for your feedback, and potentially win up to $300 for writing an impactful blog about Denser Retriever. Don’t miss out—learn more at...

Denser Retriever combines multiple search technologies into a single platform. It utilizes gradient boosting ( xgboost) machine learning technique to combine: * Keyword-based searches that focus on fetching precisely what the query mentions. * Vector databases that are great for finding a wide range of potentially relevant answers. * Machine Learning rerankers that fine-tune the results to...

If you're in the midst of organizing your travel and feel overwhelmed by the plethora of sights and activities to choose from, the Denser Travel (https://chat.openai.com/g/g-3aqV...) at GPT store is here to guide you. Just ask a straightforward question like "plan a three-day trip to New York," and the Denser Travel Assistant will assist in devising a comprehensive travel plan and schedule,...

Introducing DenserBot - The Future of Conversational AI Powered by Your Data We are thrilled to announce the launch of DenserBot 🚀, a step forward in our mission to Transform Data into Knowledge. In less than 2 minutes, discover at https://youtu.be/bcIn8nGkkmo on how to effortlessly build and unleash the potential of DenserBot. 🤖🌐. DenserBot is not just another chatbot; it's a dynamic fusion of...