Integrating AI with Java: Quarkus and Langchain4j

An airhacks.fm conversation with Dimitris Andreadis (@dandreadis)
about: Dimitris appeared previously on "#64 Quarkus 1.0 and
SpringBoot", discussion about integrating AI language models (LLMs)
with Java applications using quarkus and langchain4j, OpenShift AI,
the benefits of using Quarkus for AI integration, Drools and ML,
the potential of using AI for rule engines and decision making, the
challenges of handling state and context with LLMs, InfiniSpan and
vector databases, the role of vector stores and embeddings for
semantic search, the advantages of Java for enterprise applications
and maintenance, the potential of using AI models natively with
GraalVM, the importance of tools functionality for LLMs to call
Java methods, the excitement around AI in the Java community, the
future trajectory of tighter integration between Java and AI
models, the potential of using AI for code generation and
intelligent developer tooling

Dimitris Andreadis on twitter: @dandreadis