
Harnessing LLM with MQTT: A Comprehensive Technical Overview for AI/IoT Integration
Whether you’re an AI developer, IoT enthusiast, or industry innovator, this whitepaper is your key to unlocking the full potential of LLM+MQTT.
Dive into the World of MQTT and AI: Exploring EMQ Resources and Best Practices.

Whether you’re an AI developer, IoT enthusiast, or industry innovator, this whitepaper is your key to unlocking the full potential of LLM+MQTT.

This whitepaper will explore how to address the messaging challenges of IoV with MQTT over QUIC and what new horizons it will open up for the connectivity and innovation of smart transportation systems.

Enter the OMH (Open Manufacturing Hub) - an open-source blueprint for industrial IoT presented by EMQ, harnessing the true potential of industrial connectivity and real-time data.

In this report, we will first introduce how to use the PostgreSQL data bridge, covering topics like how to set up the PostgreSQL server and create data bridges and rules for forwarding data to it.

In this report, we will begin by giving a brief introduction to Google Cloud Pub/Sub, highlighting its strengths and benefits and showing the configuration process for the integration.

This report will guide you through the process of using the InfluxDB data bridge. We will cover topics such as setting up the InfluxDB server, creating data bridges, and defining rules for forwarding data to it.

This report introduces MongoDB and its benefits, and shows the real performance of the integration of single-node EMQX Enterprise with MongoDB by conducting a comprehensive benchmark test.

This report introduces MySQL and its benefits, and shows the real performance of the integration of single-node EMQX Enterprise with MySQL by conducting a comprehensive benchmark test.

This report introduces Apache Kafka and its benefits, and shows the real performance of the integration of single-node EMQX Enterprise with Kafka by conducting a comprehensive benchmark test.

Test the performance of EMQX Enterprise single node in a scenario of 100,000 concurrent connections and saving 100,000 QoS 1, payload 200B messages per second to MySQL.

Test the performance of EMQX Enterprise single node in a scenario of 100,000 concurrent connections and bridging 100,000 QoS 1, payload 1KB messages per second to Kafka.

Test the performance of EMQX Enterprise single node in a scenario of 100,000 concurrent connections and saving 100,000 QoS 1, payload 200B messages per second to TimescaleDB.

Test the performance of EMQX Enterprise single node in a scenario of 100,000 concurrent connections and saving 100,000 QoS 1, payload 200B messages per second to PostgreSQL.

Test the performance of EMQX Enterprise single node in a scenario of 100,000 concurrent connections and saving 100,000 QoS 1, payload 200B messages per second to InfluxDB via HTTP.

Test the performance of EMQX Enterprise single node in a scenario of 100,000 concurrent connections and saving 100,000 QoS 1, payload 200B messages per second to ClickHouse.