Tag: LLMs
Unlocking the Power of AWS Bedrock with Couchbase
The explosion of generative AI has made vector databases a crucial part of modern applications. As businesses seek scalable and efficient solutions for AI-powered search, recommendation, and knowledge retrieval, AWS Bedrock and Couchbase emerge as a compelling combination. AWS Bedrock...
Introducing Couchbase as a Vector Store in Flowise
We’re excited to announce that Couchbase is now officially supported as a vector store in Flowise, providing users with a powerful, high-performance solution for managing and retrieving vector data. This new integration combines Flowise’s intuitive, no-code AI workflow capabilities with...
Introducing Model Context Protocol (MCP) Server for Couchbase
The cornerstone of autonomous AI Agentic systems and GenAI applications is an “Augmented LLM”, which is defined as an LLM enhanced with augmentations from various data sources and knowledge bases. Since its introduction, there has been a lot of buzz...
A Guide to LLM Embeddings
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...
Couchbase and NVIDIA Team Up to Help Accelerate Agentic Application Development
Capella AI Services alongside NVIDIA AI Enterprise Couchbase is working with NVIDIA to help enterprises accelerate the development of agentic AI applications by adding support for NVIDIA AI Enterprise including its development tools, Neural Models framework (NeMo) and NVIDIA Inference...
AI-Ready Data: Automate Embeddings with Capella’s Vectorization Service
Couchbase Capella has launched a Private Preview for AI services! Check out this blog for an overview of how these services simplify the process of building cloud-native, scalable AI applications and AI agents. In our previous blog, we demonstrated how...
DeepSeek Models Now Available in Capella AI Services
Unlock advanced reasoning at a lower TCO for Enterprise AI Today, we’re excited to share that DeepSeek-R1 is now integrated into Capella AI Services, available in preview! This powerful distilled model, based on Llama 8B, enhances your ability to build...
A Tool to Ease Your Transition From Oracle PL/SQL to Couchbase JavaScript UDF
What is PL/SQL? PL/SQL is a procedural language designed specifically to embrace SQL statements within its syntax. It includes procedural language elements such as conditions and loops, and can handle exceptions (run-time errors). PL/SQL is native to Oracle databases, and...
Integrate Groq’s Fast LLM Inferencing With Couchbase Vector Search
With so many LLMs coming out, a lot of companies are focusing on enhancing the inference speeds for large language models with specialized hardware and optimizations to be able to scale the inference capabilities of these models. One such company...
Capella Model Service: Secure, Scalable, and OpenAI-Compatible
Couchbase Capella has launched a Private Preview for AI services! Check out this blog for an overview of how these services simplify the process of building cloud-native, scalable AI applications and AI agents. In this blog, we’ll explore the Model...
Couchbase + Dify: High-Power Vector Capabilities for AI Workflows
We’re excited to announce the new integration between Couchbase and Dify.ai, bringing Couchbase’s robust vector database capabilities into Dify’s streamlined LLMops ecosystem. Dify empowers teams with a no-code solution to build, manage, and deploy AI-driven workflows efficiently. Now, with Couchbase...
Couchbase Introduces Capella AI Services to Expedite Agent Development
TLDR: Couchbase announces new AI Services in the Capella developer data platform to efficiently and effectively create and operate GenAI-powered agents. These services include the Model Service for private and secure hosting of open source LLMs, the Unstructured Data Service...