Crawl websites, sync to vector databases, and power RAG applications. Pre-built integrations for LLM pipelines and AI assistants.
Build data pipelines that feed your AI models and agents without managing infrastructure. Crawl any website, transform content, and push directly to your preferred vector store. Use 10,000+ tools for RAG applications, AI assistants, and real-time knowledge bases. Monitor site changes, trigger workflows on new data, and keep your AIs fed with fresh, structured information. Cloud-native, API-first, and free to start until you need to scale.
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Create and run cloud-based virtual machines.
Secure and customizable compute service that lets you create and run virtual machines.
Computing infrastructure in predefined or custom machine sizes to accelerate your cloud transformation. General purpose (E2, N1, N2, N2D) machines provide a good balance of price and performance. Compute optimized (C2) machines offer high-end vCPU performance for compute-intensive workloads. Memory optimized (M2) machines offer the highest memory and are great for in-memory databases. Accelerator optimized (A2) machines are based on the A100 GPU, for very demanding applications.
A refreshing and simple to use trouble ticket system project...
...This project started out as a way to learn how to develop a CRUD web application in 2013.
Since 2013 I have had have many carrier changes and honestly did not keep up with all of the changes to PHP. That being said I did learn more about NodeJS and Angular 2+.
Almost a decade later I have decided to re-write this app using NodeJS 12 and Angular 9.
If you would like to check out the new project "Node Ticket System", please visit the GitHub page here: https://github.com/node-ticket-sytem/node-ticket-system.