Check out the blogs that falls under the category Vector Search. Learn more about the vector search best practices – interacting with AI LLMs and more
Category: Vector Search
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...
Mohan Varthakavi - VP Software Development
January 27, 2025
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...
Tim Rottach, Director of Product Line Marketing
January 24, 2025
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...
Prajwal Pai, Software Engineer
January 13, 2025
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...
Matthew Groves
December 25, 2024
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...
Tyler Mitchell - Senior Product Marketing Manager
December 20, 2024
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...
Matthew Groves
December 13, 2024
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...
Elliot Scribner - Software Engineer
December 11, 2024
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...
Ben Greenberg, Senior Developer Evangelist
December 9, 2024
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...
Jeff Morris, VP Product Marketing
December 2, 2024
Everything You Need to Know About Agentic AI
What is Agentic AI? Agentic AI refers to artificial intelligence agents that work autonomously in real-world and virtual settings. Unlike traditional AI assistants that only respond to human prompts, these systems utilize advanced AI techniques to make decisions, take actions,...
Jeff Morris, VP Product Marketing
November 22, 2024
Transformando Experiências no Varejo com Couchbase Mobile e Google GenAI
Imagine entrar em uma loja de varejo onde a experiência parece feita sob medida para você. Enquanto percorre os corredores, displays digitais exibem promoções e recomendações personalizadas com base em suas preferências. O pagamento é simples e ágil, com totens...