Usually retrieval system then fetch each chunk individually. The idea behind this is you fetch the parent document they come from (for more context)
DATA
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RAG: Retrieval Augmented Generation Explained for Enterprises
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RAG stands for retrieval augmented generation, which enables companies to fetch important data relative to a query in a prompt in order to improve its results.
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5G Success Requires OSS/BSS Standards and Data Monetization
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To ensure long-term success with 5G technology, CSPs should prioritize standards in Operations Support System (OSS) and Business Support System (BSS), enabling innovative business models and data monetization. Source @ericsson Link https://
bit.ly/3qyFJrG via @antgrasso #5G -
BlackBerry Scales Cybersecurity Services Using Lakehouse Technology
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Detecting #cyberattacks through large data sets — what like it’s hard? Not with Databricks Discover why @BlackBerry chose #Lakehouse over other cloud data warehouse vendors to help globally scale its #cybersecurity services
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Analytics Cloud Roadshow San Francisco September 14
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The #AnalyticsCloudRoadshow is coming to San Francisco September 14! Join Alteryx, @databricks and @PwC for an afternoon of fun, learning and expert discussions. See how organizations use the power of the cloud for the fastest insights. Limited spots: https://
ow.ly/CMYv50PEa1U -
Cross-Team Collaboration Maximizes Data Asset Returns
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One of the most effective ways to get a positive Return on Data Assets? Get a platform that ensures seamless cross-team collaboration. See what elements you need to take into account — and the stages of developing data and #AI projects https://
bit.ly/3Oxjavi -
California’s Delete Act: Privacy Regulation Impacts Ad Tech Industry
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For @Digiday
’s “WTF Series” — which explains the complexities of adtech — I wrote an overview about the proposed “Delete Act” in California, what #SB362 entails, why privacy groups are in favor of the bill and why the ad world wants the #CALeg to kill it. https://
digiday.com/media-buying/w
tf-is-californias-proposed-delete-act/
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Multiple Embeddings Strategy for Enhanced Document Retrieval
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One solution is to start creating not one but MULTIPLE embeddings per document This was the basic realization with our ParentDocumentRetriever ~2 weeks ago, but it's really much more general than that There are many ways to create multiple embeddings
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Larger Context Windows Challenge Single Embeddings Per Chunk
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Language models are getting larger and larger context windows This is great, because you can pass bigger chunks in! But if you have larger chunks, then a single embedding per chunk can start to fall flat, as there can be multiple distinct topics in that longer passage
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Purdue Business Data 4 Good Case Competition for Students
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I recommend this Case Competition for students: it's being hosted by Purdue School of Business. Data 4 Good – Purdue Business https://
bit.ly/3KPOwMR