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Podcast: airhacks.fm podcast with adam bien
Episode: Exploring ONNX, Embedding Models, and Retrieval Augmented Generation (RAG) with Langchain4j
Description: An airhacks.fm conversation with Dmytro Liubarskyi (@langchain4j) about:
Dmytro previously on "#285 How LangChain4j Happened",
discussion about ONNX format and runtime for running neural network models in Java,
using langchain4j library for seamless integration and data handling,
embedding models for converting text into vector representations,
strategies for handling longer text inputs by splitting and averaging embeddings,
overview of the retrieval augmented generation (RAG) pipeline and its components,
using embeddings for query transformation, routing, and data source selection in RAG,
integrating Langchain4j with quarkus and CDI for building AI-powered applications,
Langchain4j provides pre-packaged ONNX models as...