This Couchbase blog provides steps you need to take to migrate self-managed Couchbase Server clusters to Couchbase Capella™ Database-as-a-Service (DBaaS).
Couchbase XATTRs store vector data efficiently, improving performance by keeping bulky content out of query paths. Here's how XATTRs work with search.
Build a Ruby on Rails app integrating Vonage, Couchbase, and OpenAI for customer support, improving agent workflows with vector search and WhatsApp.
10 essential tips and tools to get the most out of Couchbase Capella’s free tier, perfect for students, startups, and enterprises alike.
Enhance app LLM capabilities using Couchbase Vector Search and RAG, allowing contextual responses from private data sources.
Couchbase is recognized in G2’s Fall 2024 reports for top performance across multiple database categories, emphasizing customer satisfaction and usability.
Efficiently ingest and query nested data in Capella Columnar vs. ClickHouse, comparing preprocessing, schema transformation, and real-time updates.
Learn how to build a generative AI recommendation engine using LLM, RAG, and Couchbase integration. Step-by-step guide for developers.
High availability architecture is a design approach that ensures systems are operational and accessible with minimal downtime. Learn more about it here.
Couchbase integrates AI, vector search, and edge computing to enhance customer experiences with fast, reliable, and real-time data processing at the edge.
Discover Capella iQ's architecture, integrating Couchbase NoSQL and generative AI to streamline coding with natural language queries, SQL++, and SDKs.
Capella Columnar’s RBAC offers secure, role-based access control, ensuring data protection with granular permission management.