Imagine asking a librarian for one page that proves a claim. The librarian first runs through the whole building and […]
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Chunking is the process of splitting source documents into smaller pieces before they are embedded and stored in a vector
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Ask a friend a hard question, like “How did the failure of Silicon Valley Bank compare to the 2008 financial
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Search breaks down when wording changes but meaning stays the same. A user types “I forgot my credentials,” while the
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Document ingestion is the first mile of a Retrieval-Augmented Generation (RAG) system. Before retrieval, chunking, or embedding can work, raw
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Retrieval-augmented generation (RAG) promises answers grounded in an external knowledge base. In practice, an answer can be wrong because the
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Imagine you are fixing a restaurant order pipeline. A customer says, “My order is wrong.” That sentence alone does not
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Think of four analysts preparing for an executive meeting. One analyst brings nothing and relies on memory. Another crams all
When to Use RAG, and When Prompting or Fine-Tuning is Better Read More »
Imagine you have just hired a brilliant consultant. Highly experienced, available around the clock, knowledgeable across dozens of fields. You
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Consider a spam filter trained in 2010. By 2020, users receive far more promotional newsletters than before. The types of
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AI agents are often used where a script, workflow, or simpler model would do the job better. If the task
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Paper: DINO: Emerging Properties in Self-Supervised Vision Transformers (Caron et al., 2021), DINOv2: Learning Robust Visual Features without Supervision (Oquab
