Stack & Craft
PulseAugur coverage of Stack & Craft — every cluster mentioning Stack & Craft across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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Evaluating RAG systems: Separating evidence from answers
This article outlines a method for evaluating retrieval-augmented generation (RAG) systems by separating the assessment of retrieved evidence from the generated answers. It emphasizes the importance of creating a compre…
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Debugging RAG: A step-by-step guide to tracing evidence failures
This article provides a structured approach to debugging issues in retrieval-augmented generation (RAG) systems, focusing on tracing the evidence flow. It outlines a repeatable investigation process to pinpoint failures…
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AI document chunking: preserving context for better retrieval
This article discusses the importance of document chunking for effective retrieval in AI systems. It explains that the way documents are divided into smaller passages, including factors like passage size, overlap betwee…
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Search systems leverage lexical, graph, and embedding methods for query matching
This post explores various methods for matching user queries to documents, focusing on lexical, graph-based, and embedding-based approaches. Lexical methods involve direct query string manipulation like stemming, spell …