LLM embeddings are numerical representations of words, sentences, or other data that capture semantic meaning, enabling efficient text processing, similarity search, and retrieval in AI applications. They are generated through neural network transformations, particularly using self-attention mechanisms in transformer models […] The post A Guide to LLM Embeddings appeared first on The Couchbase Blog.
The iGaming industry is a highly competitive environment, requiring a high-performance & scalable backend to retain players and ensure smooth gameplay. Any kind of online betting on the future outcome of a game or event – such as sports betting, […] The post Why Couchbase is Important in iGaming appeared first on The Couchbase Blog.
Capella adds Columnar Analytic Services to GCP Couchbase’s Capella Columnar, the analytic services of our developer data platform, is now available in Google Cloud, expanding its support for popular clouds. The Analytic Services include real-time ingestion and conversion of complex […] The post Couchbase Capella Columnar Now Available on Google Cloud appeared first on The Couchbase Blog.
We are excited to introduce Couchbase Edge Server—our lightweight, local-first, data platform designed to power your edge computing applications. With features like local data storage, upstream and downstream offline-first data sync, and seamless RESTful data access, the Couchbase Edge Server […] The post Meet Couchbase Edge Server: The Offline-First Database for the Resource Constrained Edge appeared first on The Couchbase Blog.
What is data normalization? Data normalization is the process of structuring a database to enhance efficiency, maintain consistency, and eliminate redundant data. The idea is simple: break data into smaller, related tables to minimize repetition and simplify updates. By following […] The post Data Normalization vs. Denormalization Comparison appeared first on The Couchbase Blog.
