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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.
Android common lib, ImageCache, HttpCache, DropDownListView, etc.
...You can choose a variety of cache algorithms (FIFO, LIFO, LRU, MRU, LFU, 13 types such as MFU) or custom caching algorithms. Cache can be initialized according to system configuration. Applicable to applications that get more pictures and frequently use pictures, including secondary cache, such as Sina Weibo, twitter, WeChat avatar, Meili Talk, Mogujie, Petal, Taobao, etc.
...Download the zipped package from https://sourceforge.net/projects/color-hound/ to a local folder on your disk. Extract the zip and execute the color-hound-1.0.jar using Java SE or run the ColorHound-1.0.exe on windows based system.
System Requirement:
Minimum System Requirement
* JRE/JDK 1.6.0 or more
* 10MB of Harddisk space
* 256 MB of RAM