Retrieval-augmented generation (RAG) is a technique for enhancing the accuracy and reliability of LLMs by retrieving facts from external data sources.
Kesavan Nair (Kay) on LinkedIn: Neo4j and Google Cloud Extend Strategic Partnership With New Native…
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Phil Meredith on LinkedIn: What Is Retrieval-Augmented Generation (RAG)? — Overcoming the Limitations…
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What Is Retrieval-Augmented Generation (RAG)? — Overcoming the Limitations of Fine-Tuning & Vector-Only RAG - Graph Database & Analytics
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Neo4j on LinkedIn: Neo4j at re:Invent
Neo4j on LinkedIn: Scoutbee & Neo4j: Knowledge graphs and what they can do for master data…
Kesavan Nair (Kay) on LinkedIn: #nodes2022 #graphsareeverywhere #graphconference
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Process Tempo: Improve your supply chain efficiency & resilience with data-driven decisions., Phil Meredith posted on the topic
