Topic mix
RAG
26 moments from 20 videos · 55:25 min total
This compilation of conference talk recordings offers engineers practical strategies for implementing Retrieval-Augmented Generation. Learn techniques for improving data retrieval accuracy.
Play section Simplified vector indexing via Quarkus Easy RAG
Simplified vector indexing via Quarkus Easy RAG
The Easy RAG extension accelerates context building by directly ingesting local resource directories into memory at startup.
Simplified vector indexing via Quarkus Easy RAG
The Easy RAG extension accelerates context building by directly ingesting local resource directories into memory at startup.
Play section Implementing semantic RAG with fallback for complex queries
Implementing semantic RAG with fallback for complex queries
Treating the semantic layer as a blueprint for generating custom SQL enables artificial intelligence agents to accurately answer unexpected questions.
Implementing semantic RAG with fallback for complex queries
Treating the semantic layer as a blueprint for generating custom SQL enables artificial intelligence agents to accurately answer unexpected questions.
Play section Establishing rigorous evaluation pipelines for operational RAG systems
Establishing rigorous evaluation pipelines for operational RAG systems
Preventing hallucinated answers and poor data grounding requires setting up comprehensive observability pipelines before application deployment.
Establishing rigorous evaluation pipelines for operational RAG systems
Preventing hallucinated answers and poor data grounding requires setting up comprehensive observability pipelines before application deployment.
Play section Understanding overarching retrieval and generation steps in RAG architectures
Understanding overarching retrieval and generation steps in RAG architectures
Connecting source documents into vector stores supports systemic context retrieval and dynamic model answer generation.
Understanding overarching retrieval and generation steps in RAG architectures
Connecting source documents into vector stores supports systemic context retrieval and dynamic model answer generation.
Play section Isolating independent failure surfaces in RAG application pipelines
Isolating independent failure surfaces in RAG application pipelines
Diagnosing silent breakages properly involves separating the underlying accuracy of retrieval logic from final component generation.
Isolating independent failure surfaces in RAG application pipelines
Diagnosing silent breakages properly involves separating the underlying accuracy of retrieval logic from final component generation.
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