Explore the potential of Generative AI Functions in Apache Kafka and Apache Pulsar for real-time data processing pipelines in this 42-minute conference talk. Delve into Vector Search, Computing Embeddings, and Chat Completion use cases, and discover how these capabilities can revolutionize intelligent application development. Witness a live demonstration of a Kafka application enhancing a real-time data pipeline with Generative AI capabilities. Learn from Christophe Bornet, a Senior Software Engineer at DataStax, Apache Pulsar committer, and core team member of JHipster and OpenAPI-generator projects, as he shares insights on building real-time AI with streaming systems.
Real-time AI Made Easy - Harnessing Generative AI Functions in Apache Kafka and Apache Pulsar
Overview
Syllabus
Real-time AI made easy: Harnessing Generative AI Functions in Apache Kafka and Apache Pulsar
Taught by
The ASF
Related Courses
-
Handling Streaming Data with Apache Pulsar
-
Data Ingestion with Kafka and Kafka Streaming
-
Streaming Big Data with Spark Streaming, Scala, and Spark 3!
-
Build Real-time Machine Learning Apps on Generative AI with Kafka Streams
-
Building a Real-Time AI Data Platform with Apache Kafka
-
Real-Time Streaming Using Apache Kafka
