Categoria: Vector Search
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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,…
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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…
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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…
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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…
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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…
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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…
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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…
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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…
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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…
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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…
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PDF RAG Demo: Building Simplified AI Workflows with Couchbase Shell
Previously, we showed how to use Couchbase RAG capabilities through a Python app that allows the user to ‘chat’ with their PDF or with X. It’s simple to build, but can we build it…
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The Future of AI-Powered Applications Enabled by Couchbase
Numerous Couchbase customers, across all industries, see the immense value and importance of artificial intelligence (AI) and generative AI technologies. Many organizations are on the cusp of fully diving into integrating AI so that…