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Context for your AI agents
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.
The goal of this project is to make possible to access Progress database from any external program that can use sockets. The server (broker and agents) are written in Progress 4GL and made use of sockets capabilities of Progress V9.
Based off of bandwidthd (http://sourceforge.net/projects/bandwidthd) but updated to support large networks (13,000+ devices). IPv6 support is in the works. Our thanks goes to the original authors of bandwidthd who made this possible.