Systems | Development | Analytics | API | Testing

How to Scale RAG and Build More Accurate LLMs

This article was originally published on The New Stack on June 10, 2024. Retrieval augmented generation (RAG) has emerged as a leading pattern to combat hallucinations and other inaccuracies that affect large language model content generation. However, RAG needs the right data architecture around it to scale effectively and efficiently.

Databricks: Achieve performance and reliability with purpose-built AI

88% of Databricks users surveyed are turning to AI to improve bug-fixing effectiveness (Databricks). Why? Troubleshooting modern data stacks is typically a toilsome and manual process. The good news – data teams that use DataOps practices and tools will be 10 times more productive (Gartner). With this in mind, Unravel is hosting this live event to demonstrate how AI-enabled observability for Databricks’ Data Intelligence Platform helps you proactively achieve performance and reliability.

Announcing AI-Powered API Test Generation in Katalon Studio

It's well known that creating API test cases can be time-consuming and repetitive. Manually adjusting web service requests and verification steps is not only tedious but also prone to errors, especially when dealing with complex systems. Today, we’re thrilled to announce a game-changing feature in Katalon Studio that will revolutionize your testing workflow: AI-powered API test generation from OpenAPI/Swagger specifications.

Using Swift as a Backend Technology

Swift is a powerful open source programming language created by Apple in 2014 for the iOS, iPadOS, macOS, watchOS, and tvOS, known for its modern syntax, safety features and fast performance. Designed as a successor to Objective C, Swift has become a hugely popular choice for frontend and mobile app development, and it’s also shaping up to be an excellent choice for server-side development.

The Rise of Digital Printing Companies: Transforming the Printing Industry

Digital printing companies are revolutionizing the printing industry by offering high-quality, efficient, and cost-effective printing solutions. This article explores the concept of digital printing, the benefits of working with digital printing company, the technology involved, and the diverse applications across various sectors.

Building AI With Ollama and Django

If you’re not building with AI, are you even building these days? Sometimes, it seems not. AI has become such an integral part of workflows throughout many tools that a clear understanding of integrating it into your product and framework is critical. Django is such a framework that powers thousands of products across the web: Instagram, Pinterest, and Mozilla are all services built on Django.

Confluent Is Named Microsoft's 2024 OSS on Azure Global Partner of the Year

Confluent is thrilled to be named Microsoft’s 2024 OSS on Azure Global Partner of the Year. As a three-time Partner of the Year award winner, this recognition reflects our commitment to delivering outstanding open source-based applications and infrastructure solutions on Microsoft Azure.

Amazon OpenSearch Ingestion Adds Support for Confluent Cloud as Source

Until recently, customers didn't have an easy way to send data from Confluent’s data streaming platform to Amazon OpenSearch. They had to either write custom code using AWS Lambda as an intermediary, refactor the HTTP Sink connector, or self-manage an old Elasticsearch connector version. Earlier this year, we announced the fully managed OpenSearch Sink connector, providing a seamless way to sink data from Confluent to Amazon OpenSearch.

Revolutionize Your Business Dashboards with Large Language Models

In today’s data-driven world, businesses rely heavily on their dashboards to make informed decisions. However, traditional dashboards often lack the intuitive interface needed to truly harness the power of data. But what if you could simply talk to your data and get instant insights? In the latest version of Cloudera Data Visualization, we’re introducing a new AI visual that helps users leverage the power of Large Language Models (LLMs) to “talk” to their data..