Category: Search
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...
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...
Plataforma única, Couchbase multiuso: Pesquisa vetorial, geoespacial, SQL++ e muito mais
Há casos de uso que são melhor atendidos por vários tipos de acesso a dados, incluindo SQL, pesquisa vetorial, consultas geoespaciais e acesso de valor-chave. Uma abordagem é combinar/encadear vários sistemas de dados para cada método de acesso. No entanto,...
2025 Enterprise AI Predictions: Four Prominent Shifts Reshaping Infrastructure and Strategy
Organizations are moving beyond initial experimentation to implement more sophisticated and practical AI strategies. The trend of simply adopting off-the-shelf AI solutions is giving way to a more nuanced approach, where businesses are carefully balancing the power of large language...
What is Semantic Search? The Definitive Guide
What is semantic search? Semantic search is an advanced technique that focuses on understanding the intent and contextual meaning of queries rather than just matching keywords. By using natural language processing (NLP), machine learning, and knowledge graphs, it interprets relationships...
Introducing Couchbase as a Vector Store in MindsDB
We’re thrilled to announce that Couchbase is now supported as a vector store in MindsDB, bringing together the best of both worlds: MindsDB’s cutting-edge machine learning capabilities and Couchbase’s high-performance vector storage. With this new integration, users can seamlessly combine...
Single Platform, Multi-Purpose Couchbase: Vector Search, Geospatial, SQL++, and More
There are use cases that are best served by multiple types of data access, including SQL, vector search, geospatial queries, and key-value access. One approach is to combine/chain together multiple data systems for each access method. However, the Couchbase approach...
What are Embedding Models? An Overview
What are embedding models? Embedding models are a type of machine learning model designed to represent data (such as text, images, or other forms of information) in a continuous, low-dimensional vector space. These embeddings capture semantic or contextual similarities between...
A Guide to Data Chunking
What is Data Chunking? Data chunking is a technique that breaks down large datasets into smaller, more manageable chunks. It’s crucial to artificial intelligence, big data analytics, and cloud computing because it optimizes memory usage, speeds up processing, and improves...
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...
Cracking the Code on Quality Control with Vector Search
There is a good chance you encounter vector search regularly, even if you are not building applications with it. Discovering content recommendations based on previous liked content is a common use case of vector embeddings, and one that many of...