Fuzzy query is not only a querying tool; it improves the meaning of a query and extracts additional valuable information.Statistical data about districts of the Slovak Republic are used in the case study. Fuzzy approach has some limitations that would appear in a querying process. These ...
Video retrieval is defined as the process of searching and retrieving videos based on their content, such as color, texture, motion, and semantic features, from a database using techniques like feature matching and high-level queries. AI generated definition based on: Applied Soft Computing, 2016...
One core principle of RAG is theseamless integration of retrieval and generation, which hinges on the quality of the retrieval mechanism. Effective retrieval depends on vector embeddings that accurately represent semantic meaning. For instance, dense retrieval models like DPR (Dense Passage Retrieval) o...
Data Science Here’s how to use Autoencoders to detect signals with anomalies in a few lines of… Piero Paialunga August 21, 2024 12 min read 3 AI Use Cases (That Are Not a Chatbot) Machine Learning Feature engineering, structuring unstructured data, and lead scoring ...
meaning behind a search query. It improves the relevance of search results by interpreting the nuances of language, rather than relying on keyword matching. While RAG enriches response generation with external data, semantic search refines the process of finding the most relevant information based on...
For example, a basic query asking about the tree species native to France might search the AI system’s database using “trees” and “France” as keywords and find data that contains both keywords—but the system might not truly comprehend the meaning of trees in France and therefore may ...
Many complex operations need to be performed - such as generating embeddings, comparing the meaning between different pieces of text, and retrieving data in real-time. These tasks are computationally intensive and can slow down the system as the size of the source data increases. To address this...
into the process of generating responses by Large Language Models (LLMs). It searches a database...
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Given some semantic class of a named entity, it may not be sufficient simply to recognize when one is mentioned in text (the named entity recognition task). Rather, it is often desirable or necessary to map that named entity to some entity in a database, or to some concept in a control...