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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...Searching algorithm A* :
divide and conquer approach based on Manhattan-distance and linear conflict.
Author: Roberto Bracaglia Morante
ver 2.0 written in Java, May 2014 // many improvements and bug fixes
ver 1.3 written in Jython, May 2014