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  2. Retrieval-augmented generation - Wikipedia

    en.wikipedia.org/wiki/Retrieval-augmented_generation

    Retrieval-Augmented Generation (RAG) is a technique that grants generative artificial intelligence models information retrieval capabilities. It modifies interactions with a large language model (LLM) so that the model responds to user queries with reference to a specified set of documents, using this information to augment information drawn from its own vast, static training data.

  3. LangChain - Wikipedia

    en.wikipedia.org/wiki/LangChain

    LangChain is a software framework that helps facilitate the integration of large language models (LLMs) into applications. As a language model integration framework, LangChain's use-cases largely overlap with those of language models in general, including document analysis and summarization , chatbots , and code analysis .

  4. File:GraphRAG.svg - Wikipedia

    en.wikipedia.org/wiki/File:GraphRAG.svg

    English: Diagram illustrating the two principle phases of GraphRAG with a knowledge graph with selectable access patterns for unstructured, structured and mixed data. Indexing Phase, knowledge graph construction: a) Documents (unstructured data) are transformed into a lexical graph with hiearchical levels of detail and cross-document topical ...

  5. Knowledge graph - Wikipedia

    en.wikipedia.org/wiki/Knowledge_graph

    In knowledge representation and reasoning, a knowledge graph is a knowledge base that uses a graph-structured data model or topology to represent and operate on data. Knowledge graphs are often used to store interlinked descriptions of entities – objects, events, situations or abstract concepts – while also encoding the free-form semantics ...

  6. Reflections (Chet Atkins and Doc Watson album) - Wikipedia

    en.wikipedia.org/wiki/Reflections_(Chet_Atkins...

    Main page; Contents; Current events; Random article; About Wikipedia; Contact us

  7. Knowledge graph embedding - Wikipedia

    en.wikipedia.org/wiki/Knowledge_graph_embedding

    In representation learning, knowledge graph embedding (KGE), also referred to as knowledge representation learning (KRL), or multi-relation learning, [1] is a machine learning task of learning a low-dimensional representation of a knowledge graph's entities and relations while preserving their semantic meaning.

  8. Blind Blake - Wikipedia

    en.wikipedia.org/wiki/Blind_Blake

    The Master of Ragtime Guitar, The Essential Recordings (Indigo, 1996) Georgie Bound (Catfish, 1999) The Best of Blind Blake (Yazoo, 2000) The Essential Blind Blake (Document, 2002) All the Published Sides (JSP, 2003) Blind Blake (Black Swan, 2004) The Best of Blind Blake (Collectables, 2006) Southern Rag (Snapper, 2008) The Complete Recordings ...

  9. John Pearse - Wikipedia

    en.wikipedia.org/wiki/John_Pearse

    John Pearse (12 September 1939 – 31 October 2008) was a British guitarist, folk singer and music educator, who came to prominence in the 1960s presenting the popular BBC2 television guitar tuition series, Hold Down a Chord.