Category: Generative AI (GenAI)
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...
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...
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...
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...
Couchbase Drives the AI App Revolution Across Industries – Q3 FY25 Highlights
During our recent third quarter fiscal 2025 earnings call, we were proud to share the great momentum we saw with expansions and new logos for both Couchbase Enterprise and Capella. We saw exciting customer wins across several industries, including government,...
Couchbase Capella Wins the UK IT Industry Award for Cloud Innovation of the Year
We’re thrilled to announce that Couchbase Capella™, our industry-leading developer data platform architected for critical applications in our AI world, has been awarded the 2024 UK IT Industry Award for Cloud Innovation of the Year. This award recognizes Capella’s ability...