Tag: LLMs
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...
AI Agents & the Coming Tidal Wave of Observability Data
As artificial intelligence continues to permeate various sectors, companies are increasingly looking at how they can develop, deploy, and scale AI agents to automate tasks, enhance user experiences, and drive innovation. These AI agents, powered by advanced language models and...
Building End-to-End RAG Applications With Couchbase Vector Search
Large Language Models, popularly known as LLMs is one of the most hotly debated topics in the AI industry. We all are aware of the possibilities and capabilities of ChatGPT by OpenAI. Eventually using those LLMs to our advantage discovers...
From Concept to Code: LLM + RAG with Couchbase
GenAI technologies are definitely a trending item in 2023 and 2024, and because I work for Tikal, which publishes its own annual technology radar and trends report, LLM and genAI did not escape my attention. As a developer myself, I...