Couchbase provides insights into NoSQL database technology, distributed systems, and cloud-native architectures, empowering developers to build scalable and high-performance applications. Developers diving into Couchbase's rich content can explore documentation, tutorials, and case studies to learn about the key features and capabilities of Couchbase's NoSQL database, as well as best practices for deploying and managing distributed systems in cloud environments. 

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A step-by-step guide to building a retrieval-augmented generation (RAG) system using Couchbase Capella AI Services and LangChain. The tutorial covers ingesting BBC News articles, generating vector embeddings with NVIDIA NeMo Retriever, storing and indexing vectors in Couchbase, performing semantic search, and generating answers using Mistral-7B LLM. The implementation demonstrates how to use Couchbase's unified platform for database storage, vectorization, and model inference through OpenAI-compatible endpoints.

CodeLab: Building a RAG Application With Couchbase Capella Model Services and LangChain

Step 4: Loading Couchbase Vector Search Index