infrastructure

When a message comes in, our Golang-based infrastructure instantly parses and stores it in MongoDB, while simultaneously activating parallel processing workflows. The message passes to our Cognitive Processing Engine, which is powered by Google's latest Gemini models, and which simultaneously sends requests to both the MongoDB collections containing static knowledge and to live enterprise systems via API connections.

Our Golang architecture employs concurrent processing to enable memory retrieval, context analysis, and tool execution to occur simultaneously and not sequentially, which significantly reduces response times. If actions in external systems are needed, the infrastructure makes secure API calls and waits for confirmation before generating a response.

The Gemini model processes all collected context to create a response, which is validated, stored in MongoDB, and provided back through the original channel, while maintaining real-time websocket connections for dashboard monitoring. The entire cycle from receiving a message to delivering a response is completed in less than two seconds, ensured by MongoDB, which stores all conversation data, and Golang, which effectively orchestrates complex AI processing and system integrations.