If you’re one of the cool kids building AI-based products you’ve probably heard of — or are already doing — RAG. If you’re not, let me tell you what RAG is before telling you one weird fact about it. “Retrieval-Augmented Generation” is nothing more than a fancy way of saying “including helpful information in your LLM prompt.” Still, there are many ways to do it and many questions to answer when building a RAG pipeline.

As I reflect (although a better word would maybe recover) on the incredible experience at Qlik Connect in sunny Orlando, I am filled with excitement and pride. This year’s event was particularly special because it was our first opportunity to showcase the expanded Qlik portfolio, including our robust data foundation, Qlik Talend Cloud, and Qlik Answers, our all-new knowledge assistant that delivers personalized, relevant answers to questions generated from a variety of unstructured data sources.

The 2024 Gartner Magic Quadrant for Analytics and BI Platforms just dropped, and we’re thrilled to announce that ThoughtSpot was recognized as a Leader in the report. But, we aren’t the only ones finding ourselves in a new position this year. The analytics and BI space has undergone some of the most significant shifts in over a decade, an aftershock of generative AI.

In this post, we demonstrate how a robust and scalable generative artificial intelligence (GenAI) chatbot is built using Amazon Bedrock and Confluent Cloud. We walk through the architecture and implementation of this generative AI chatbot, and see how it uses Confluent's real-time event streaming capabilities along with Amazon's infrastructure to continually stay up to date with the latest advances from the AI landscape.

When two different software applications want to join forces by sharing information, it’s not always a perfect union. Different database structures, programming languages, and network protocols tend to complicate the process. When reading about the various API technologies, you’ve probably come across two terms, OData vs REST, and wondered, “what’s the difference?” It turns out that OData vs. REST are two closely related concepts.

When Snowflake acquired the TruEra AI Observability platform, we committed to keeping TruLens open source. We’re not only keeping that promise; we’re emphasizing it. Our goal remains to support LLM app developers in creating trustworthy generative AI applications. In the weeks since the acquisition, we have already added ecosystem-friendly enhancements including: We plan to continue making enhancements and improvements that benefit the community at large, whether on Snowflake or not.

According to Statista, the microservices architecture market will grow at a robust CAGR of 19.6%, reaching $10.86 billion by 2027, up from $4.44 billion in 2022. The shift to microservices architecture has revolutionized software design and development, significantly enhancing agility, scalability, resilience, delivery times, cost-effectiveness, and more. Since Dr.

Nowadays, businesses need to integrate with various applications and services to streamline operations and improve customer experience. Application Programming Interfaces (APIs) play an important role in enabling this integration by letting different software systems to communicate and share data. API integration platforms are the key to maximizing the potential of your APIs.

Enterprises are beginning to implement gen AI across use cases, realizing its enormous potential to deliver value. Since we are all charting new technological waters, being mindful of recommended strategies, pitfalls to avoid and lessons learned can assist with the process and help drive business impact and productivity. In this blog post, we provide a number of frameworks that can help enterprises effectively implement and scale gen AI while avoiding risk.

A few weeks ago, Apple hosted its annual developer conference WWDC 2024, and made many announcements that will impact the mobile developer ecosystem. ‍ In a previous blog, we outlined the three top high-level announcements. In this post, we are diving into what’s new for two very important components of iOS- Xcode 16 and the App Store Connect.