Using @Dave Ebbelaar's video on Docling, I’ve built a RAG tool that lets you upload documents and ask questions about their content using the OpenAI API, Docling, LanceDB and Streamlit. Key Features ✅ Upload PDF or DOCX files ✅ Store and process documents in LanceDB ✅ Ask questions and get relevant answers based on the document’s content ✅ Uses OpenAI API for natural language responses How It Works 1️⃣ Upload a document (PDF or DOCX) 2️⃣ The document is processed and indexed in LanceDB 3️⃣ You ask a question, and the system retrieves relevant context 4️⃣ The OpenAI API generates a response using RAG I built it to help me summarise research papers, so that once a document has been processed, it allows you to select a database within the side menu so that I can go back and query the same paper multiple times. https://github.com/rj-price/ragbot I’d love to get your feedback and suggestions. If you try it out and please let me know what you think!

China's AI scene is heating up, with companies like DeepSeek, Tencent and Baidu making big waves in the AI scene since the start of this year. The pace of these companies in the past few months has been staggering with models like DeepSeek V3 and ERNIE X1 competing with the best models from the US. It's obviously not all good though, with concerns over privacy and security. Some of my main pros and cons around the situation below... ​ Pros: - Diversification of models opens up new routes to innovation - Cost effective performance makes AI more accessible - Open source licensing opens up collaboration and implementation Cons: - State censorship raises ethical questions - Concerns about data privacy and security I'd love to get your opinions on China's rising AI influence? How will this shape the global tech landscape moving forwards?

I just found out this is a technique called coercive prompting, where the system applies emotional pressure on the LLM to generate more accurate responses. It seems like a clever hack but I wonder if it scales well. Have you tried something like this?

The goal of this group is to help you navigate the complex and rapidly evolving world of data science and artificial intelligence. This is your hub to stay up-to-date on the latest trends, learn specialized skills to turn raw data into valuable insights, connect with a community of like-minded individuals, and ultimately, become a Data Alchemist. Together, let's decode the language of data and shape a future where knowledge and community illuminate our way. Rules - Don't sell anything here or use Data Alchemy as any kind of funnel - We delete low effort community posts, and posts with poor English. Proofread your post first. - Help us make the posts high quality. If you see a low quality post, then click on the 3 dots on the post and "Report To Admins". Start by checking out these links - Classroom - Introduction - Roadmap - Contribution Be Aware of Scammers - Please be aware that this is a public group. Unfortunately, some people abuse the Skool platform to send DMs or post comments to trick people. This is the internet, so always do your own due diligence. Never automatically trust someone here on the Skool platform other than @Dave Ebbelaar's official account. To kick things off, please comment below, introducing yourself. Let us know: 1. Your name and where you're from 2. What project(s) you're currently focused on See you in the comments!

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