Google Search
Sounds fancy. Why do we care? GAR involves taking the source documents and having an LLM enrich them, prior to indexing. For example, the LLM might... * Generate titles for documents that are missing them * Standardize author names/formats* Extract dates, URLs, citations and other elements that might be valuable to search as separate fields* Create... See more
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Beyond the Basics of RAG – Parlance
parlance-labs.com
Retrieval-augmented generation (RAG) is a technique that enhances text generation by retrieving and incorporating external knowledge.
Ben Auffarth • Generative AI with LangChain: Build large language model (LLM) apps with Python, ChatGPT, and other LLMs
Semantic search refers to the ability to understand the meaning and intent behind a user's query, rather than simply looking for matching keywords. It aims to provide more relevant and accurate search results by considering the semantics (meaning) of the query and the content being searched.
Retrieval-augmented generation (RAG) refers to a type of ... See more
Retrieval-augmented generation (RAG) refers to a type of ... See more