Tag: ML
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Large Language Models & Vector Stores, it takes two to tango
Large Language Models (LLMs) need to compare and search text based on meaning. Thus, they must transform the text in units that allow processing and storing efficiently. Furthermore, since the processing is heavy, there are many parameters, and the amount of data to process is large, LLMs need a storage solution, vector store, that optimises…
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VantageCloud Lake in a Nutshell
Post that includes an infographic summarising the critical VantageCloud Lake elements and the basis for using them for a quick start.
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The Path of a Query in VantageCloud Lake
This post explains the path a query takes to move through VantageCloud Lake and what steps execute on every cluster.
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Session Manager in Lake: The Key to High Availability
The Session Manager routes requests from the client application to the Primary Cluster in VantageCloud Lake. Teradata designed the Session Manager to provide users with an additional high-availability layer. The reason is that the Session Manager minimises the impact of planned and unplanned outages on the workload running on the Lake instances. This post explains…
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Time Travel in VantageCloud Lake
VantageCloud Lake supports the Time Travel feature, i.e. the ability to access the data in a table as it looked at a previous moment. This post explains how.
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VantageCloud Lake: Autoscaling the Compute Clusters
This post explains how the autoscale mechanism works for the VantageCloud Lake Compute Clusters and what triggers it.