Get a custom conversational chatbot with a tailored UI for your web applications. Connect it with different agents and workflows for a smooth user journey.
Opensource Low code RAG Builder
Get a custom conversational chatbot with a tailored UI for your web applications. Connect it with different agents and workflows for a smooth user journey.
Hey Folks, I'm Ashmil Hussain, the creator of RAGGENIE. My expertise lies in engineering and product development, particularly in building and scaling AI applications using cloud infrastructure and a robust monitoring stack. Over the years, I’ve worked with large enterprises, helping them achieve end-to-end observability, from strategy to execution. A key challenge was integrating data from multiple tools and empowering teams to rapidly build their AI use cases. These experiences were the drivin
It's an instant datasource copilot builder!
Excited to see Raggenie launch on Product Hunt! This open-source project is a game-changer for building AI-driven tools with structured data. I love how it simplifies the process and makes it accessible to both tech-savvy and less technical users. Looking forward to exploring the features and seeing how the community uses Raggenie to create innovative solutions. Kudos to the team for this fantastic initiative!
AI space has been getting a lot of attention with rising GenAI and LLM trends. A key aspect of GenAI tech is that a lot more people with lesser technical skills could access this with chat. Looking at business adoption this chat interface has to be governed, run over their own data. In a future where there will be mixture of model, businesses will want to plug and change models on the go and fine tune them. Now this sets back adoption by businesses, talk about enterprise inetgration challenges.
A great solution for optimizing processes within a company. Especially for smaller companies that don't have the budget for additional people. Good solution. Good luck with the launch guys
Check the similar products section on this page, or browse the category pages linked in the tags above. Each category page shows all products for a given year, sorted by engagement.
A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.
Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.
Categories come from the product's launch tags. Most products appear in 2-3 categories. The primary category is listed first.