In the rapidly evolving landscape of generative AI, organizations face a persistent “triple threat”: high latency, unpredictable costs, and the loss of conversational context. Every redundant call to a large language model (LLM) is a missed efficiency opportunity. At Couchbase,...
Most AI demos feel impressive for 30 seconds and then leave one question unanswered: How would you actually build this? This one is different. In this post, we’ll build a simple but compelling multimodal AI app to upload a face...
This post is the fourth part of a multi-part series exploring composite vector indexing in Couchbase. If you missed the previous posts, be sure to catch up on Part 1, Part 2 and Part 3. The series will cover: Why...
Activepieces is an all-in-one AI automation system designed to be extensible through a type-safe pieces framework written in TypeScript. With the new Couchbase connector, Activepieces workflows now can operate on data stored in Couchbase clusters, including clusters hosted on Couchbase...
Learn the key differences between data integration and application integration, how each works, and when to use them to optimize business performance.
What Is PatientIQ and Why Build it? PatientIQ is an agentic patient 360 built using Couchbase Capella AI Services. It is one example of a solution to a problem that we are trying to solve. For PatientIQ, it began with...
The Couchbase Flink connector is updated to version 0.5.0. Apache Flink is a framework and distributed processing engine for stateful computations over unbounded and bounded data streams. Flink is designed to run in all common cluster environments, and perform computations...
Explore the differences between graph RAG and vector RAG, how each enhances retrieval-augmented generation, and which suits your AI use case best.
In a previous post, Building Multi-Agent AI Workflows With Couchbase Capella AI Services, we explored how collaborative AI agents can be designed and orchestrated using Capella AI Services, Vector Search, and RAG patterns. As AI systems move from experimentation into...
Couchbase Capella has a new Data API. If you’re wondering why it is important since we already have SDKs, the answer is addressed in our documentation – but here’s a quick comparison: Data API: HTTP, language, and runtime agnostic; easy...
The Couchbase Developer Experience team is dedicated to providing Couchbase users with a rich open-source ecosystem for their clusters. Recently, we have been working to update the Alpakka Couchbase integration with support for the latest features in Couchbase Server. The...
AI in customer service boosts efficiency, personalization, and satisfaction. Explore key benefits, real-world examples, and top use cases.
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