Mon.Aug 14, 2023

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Python Vector Databases and Vector Indexes: Architecting LLM Apps

KDnuggets

Vector databases enable fast similarity search and scale across data points. For LLM apps, vector indexes can simplify architecture over full vector databases by attaching vectors to existing storage. Choosing indexes vs databases depends on specialized needs, existing infrastructure, and broader enterprise requirements.

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Delta UniForm: a universal format for lakehouse interoperability

databricks

One of the key challenges that organizations face when adopting the open data lakehouse is selecting the optimal format for their data. Among.

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How to Use ChatGPT to Convert Text into a PowerPoint Presentation

KDnuggets

A speedy way to convert a long text to a short PowerPoint Presentation using only ChatGPT.

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How to Simplify Data Pipelines with DBT and Airflow?

Workfall

Reading Time: 7 minutes In today’s data-driven world, efficient data pipelines have become the backbone of successful organizations. These pipelines ensure that data flows smoothly from various sources to its intended destinations, enabling businesses to make informed decisions and gain valuable insights. Two powerful tools that have emerged to simplify the management of data pipelines are DBT (Data Build Tool) and Airflow.

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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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5 Things You Need to Know When Building LLM Applications

KDnuggets

Five problems come with building LLM-based applications.

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Extracting Knowledge and Making Decisions with Data Science

Elder Research

The post Extracting Knowledge and Making Decisions with Data Science appeared first on Elder Research.

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Where’s My Data?—?A Unique Encounter with Flink Streaming’s Kinesis Connector

Lyft Engineering

Where’s My Data — A Unique Encounter with Flink Streaming’s Kinesis Connector For years now, Lyft has not only been a proponent of but also a contributor to Apache Flink. Lyft’s pipelines have evolved drastically over the years , yet, time and time again, we run into unique cases that stretch Flink to its breaking points — this is one of those times.

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