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Learn how semantic search uses text embeddings to find the most relevant chunks in a RAG pipeline. Understand embeddings, implement VoyageAI for generating embeddings, and discover how to match user queries with the right content.
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Learn how to build the core evaluation pipeline for prompt testing. This guide covers the three essential functions—run_prompt, run_test_case, and run_eval—that process test cases through Claude and collect structured results for analysis.- Published on
Learn how to implement code-based grading for AI-generated code evaluation. This guide covers syntax validation for Python, JSON, and regex, combining code and model graders, and using objective metrics to measure prompt engineering progress.- Published on
Learn practical techniques for implementing changes effectively with Claude, including visual communication with screenshots, Planning Mode, and advanced reasoning capabilities.- Published on
Learn how to use hooks in Claude Code to address common AI development weaknesses. Implement TypeScript type checking and query duplication prevention with practical examples and code.