Category: Generative AI (GenAI)

A Guide to LLM Embeddings
A Guide to LLM Embeddings

Learn how LLMs generate and use embeddings to enhance natural language processing, improve search relevance, and enable AI-driven applications.

Couchbase and NVIDIA Team Up to Help Accelerate Agentic Application Development
Couchbase and NVIDIA Team Up to Help Accelerate Agentic Application Development

Couchbase and NVIDIA team up to make agentic applications easier and faster to build, to feed with data, and to run.

AI-Ready Data: Automate Embeddings with Capella’s Vectorization Service
AI-Ready Data: Automate Embeddings with Capella’s Vectorization Service

Capella Vectorization Service automates embeddings, AI development is faster, easier with seamless semantic search, RAG apps, smart data retrieval.

DeepSeek Models Now Available in Capella AI Services
DeepSeek Models Now Available in Capella AI Services

DeepSeek-R1 is now in Capella AI Services! Unlock advanced reasoning for enterprise AI at lower TCO. 🚀 Sign up for early access!

A Tool to Ease Your Transition From Oracle PL/SQL to Couchbase JavaScript UDF
A Tool to Ease Your Transition From Oracle PL/SQL to Couchbase JavaScript UDF

Convert PL/SQL to JavaScript UDFs seamlessly with an AI-powered tool. Automate Oracle PL/SQL migration to Couchbase with high accuracy using ANTLR and LLMs.

Integrate Groq’s Fast LLM Inferencing With Couchbase Vector Search
Integrate Groq’s Fast LLM Inferencing With Couchbase Vector Search

Integrate Groq’s fast LLM inference with Couchbase Vector Search for efficient RAG apps. Compare its speed with OpenAI, Gemini, and Ollama.

2025 Enterprise AI Predictions: Four Prominent Shifts Reshaping Infrastructure and Strategy
2025 Enterprise AI Predictions: Four Prominent Shifts Reshaping Infrastructure and Strategy

Discover four key AI predictions for 2025 that will shape enterprise strategy, including the rise of hybrid AI models and evolving data architectures. Read more!

Introducing Couchbase as a Vector Store in MindsDB
Introducing Couchbase as a Vector Store in MindsDB

Combine Couchbase and MindsDB to unlock AI-driven applications with high-performance vector storage and seamless integration.

What are Embedding Models? An Overview
What are Embedding Models? An Overview

This blog post provides an overview of embedding models, their uses, how they work, and how to choose the best one for your data.

A Guide to Data Chunking
A Guide to Data Chunking

Data chunking refers to the process of breaking up datasets into smaller chunks. Learn how it improves performance, speed, and memory management.

Couchbase + Dify: High-Power Vector Capabilities for AI Workflows
Couchbase + Dify: High-Power Vector Capabilities for AI Workflows

Couchbase meets Dify.ai, enabling high-performance vector storage for streamlined AI application development.

Cracking the Code on Quality Control with Vector Search
Cracking the Code on Quality Control with Vector Search

Use Couchbase vector search to evaluate blog comment quality with AI. Learn how to set up and explore practical applications.