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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Your idea can be anything. At our last workshops, people built plant-based nutrition businesses, a way to measure planetary resilience, crochet headwear and a way to connect lonely people living in the same building. An asset manager went on to raise an additional £25M on their fund within nine months. The fourth workshop is a full day at KOKO with Nick Sarafa, learning to build with Claude Code. Bring the thing you keep meaning to start. We’ll bring the pizza.
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