As companies explore advancing probabilistic AI applications from experimentation to mission-critical enterprise systems, trust has become a critical factor for success. Organizations face growing challenges in building, scaling, and managing AI – ranging from fragmented architectures and data silos to […] The post Increasing the Trust of Your AI Applications appeared first on The Couchbase Blog.
For decades, developers have faced a frustrating trade-off: choose the flexibility and scalability of a document database, or choose the rich relationship modeling of a graph database. To build applications that required both – like fraud detection systems, recommendation engines, […] The post Smarter Search With Graph Queries on Document Data appeared first on The Couchbase Blog.
This post kicks off a multi-part series on composite vector indexing in Couchbase. We will start by building intuition, then progressively dive into internals, execution optimizations, and performance. The series will cover: Why composite vector indexes matter, including concepts, terminology, […] The post Filtered ANN Search With Composite Vector Indexes appeared first on The Couchbase Blog.
In this tutorial, you will learn how to build a retrieval-augmented generation (RAG) application using Couchbase AI Services to store data, generate embedding using embedding models, and LLM inference. We will create a RAG system that: Ingests news articles from […] The post CodeLab: Building a RAG Application With Couchbase Capella Model Services and LangChain appeared first on The Couchbase Blog.
[crayon-696924576dbdc588419160/] The query above provides valuable insights from your data that’s stored in Couchbase about your top five users who generated the most completed orders within the past 30 days. But what if you’re not an advanced SQL++ developer and […] The post Talk to Your Data: A UDF That Speaks Your Language appeared first on The Couchbase Blog.
