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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.
MOVED TO GITHUB: https://github.com/samwilson/cawitm
Concise and easy-to-use CRUD (Create, Read, Update, and Delete) interface to MySQL databases. Only configuration required is for connecting; everything else is drawn from the structure of the database itself. Good for prototyping DB schemata.
...The motivation is to avoid all the ORM configuration, SQL manipulation and objects replications needed when using an rdbms.
I want to implementation the engine with C as it is a commonly known language and it has a good support of the linux's shared memory.
I have already done an encouraging poc with C and mmap.