Technique

RAG Pipeline

RAG Pipeline, or Retrieval-Augmented Generation Pipeline, helps boost the capabilities of language models by integrating external knowledge sources efficiently. This technique is especially valuable for developers and data scientists looking to turn diverse data into usable insights quickly, as showcased in videos that teach building RAG pipelines from scratch, incorporating data ingestion and advanced retrieval queries. You'll learn how to implement caching and observability for production-ready applications that effectively leverage LLMs for specific tasks.

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