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Context for your AI agentsBuild 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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chat.io
A Real Time Chat Application built using Node.js, Express, Mongoose
A Real-Time Chat Application built using Node.js, Express, Mongoose, Socket.io, Passport, & Redis. The configurations on production will be assigned from Environment Variables on Heroku, while the development configurations reside inside app/config/config.json file. You need to create a database on MongoLab, then create a database user, get the MongoDB URI, and assign it to dbURI. You need to register a new application on both Facebook and Twitter to get your tokens by which users can grant...
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