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Retrieval Augmented Generation (RAG) in simple business terms

1. What Is RAG? Imagine pairing a super‑fast semantic search engine with a large language model (LLM). The search engine grabs the most relevant facts found in the loaded corpus of documents; the LLM turns those facts into clear answers. That combo is Retrieval‑Augmented Generation (RAG). 2. How Does It Work? Retrieve – The system quickly searches your chosen knowledge sources (public sites, private docs, etc.) and pulls out the…
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Query languages—the Swiss army knife of information extraction

Text mining, the art of extracting information from text, requires the formulation of efficient queries that retrieve information based on user input. To do this, the user requires a language for writing queries. For the most basic use cases, the language operators could be regex or string search. But while regex and string search are indispensable for text mining, their utility hits a hard ceiling when semantic or meaningful search…
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What is Linguistic Corpus?

At the core of Natural Language Processing lies extensive language data. The availability of copious amounts of text or speech, faithfully representing natural language, is pivotal for the efficacy of artificial language systems. Diverse forms of text, from Wikipedia articles to Twitter threads, find application in various language models. These substantial language datasets collectively constitute what is known as a corpus in linguistics—an extensive and principled collection of authentic, naturally…
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Medical Ontology and Its Use in Text Analysis

The complexity and variability of biomedical language pose a challenge in fields dealing with biomedical data. A vast array of terms, referring to various entities, including living organisms, biochemicals, drugs, biological pathways, diseases, and disease symptoms in patients, is utilized in biomedical research and closely associated healthcare industries. The intricacy inherent in this domain necessitates both a structured representation of knowledge and the use of a standardized language to describe…
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