GenAI Demo with Kafka, Flink, LangChain and OpenAI

Generative AI (GenAI) enables automation and innovation across industries. This blog post explores a simple but powerful architecture and demo for the combination of Python, and LangChain with OpenAI LLM, Apache Kafka for event streaming and data integration, and Apache Flink for stream processing. The use case shows how data streaming and GenAI help to correlate data from Salesforce CRM, searching for lead information in public datasets like Google and LinkedIn, and recommending ice-breaker conversations for sales reps.

(Originally posted on Kai Waehner’s blog: “GenAI Demo with Kafka, Flink, LangChain and OpenAI”… Join the data streaming community and stay informed about new blog posts by subscribing to my newsletter)

The Emergence of Generative AI

Generative AI (GenAI) refers to a class of artificial intelligence (AI) systems and models that generate new content, often as images, text, audio, or other types of data. These models can understand and learn the underlying patterns, styles, and structures present in the training data and then generate new, similar content on their own.

Generative AI has applications in various domains, including:

• Image Generation: Generating realistic images, art, or graphics.