Category: Search
Announcing Vector Search and a Whole Lot More!
Couchbase announces vector search across its entire product line to enable building AI-powered adaptive applications that run anywhere. Read more here.
What is Vector Similarity Search?
In this post, Couchbase breaks down what vector similarity search is, how it works, and how it can be leveraged for greater efficiency. Read on here.
Vector search is coming to Couchbase Lite, sign up for beta!
Be among the first to innovate with Couchbase Mobile, the database platform with cloud-to-edge-to-device vector search!
A Guide to Vector Search
Find an overview of the definition of vector search, its capabilities, various strategies, and more here. Couchbase also discusses its future here.
An Overview of Retrieval-Augmented Generation (RAG)
This blog post provides an overview of retrieval-augmented generation, explaining how it's used, how to implement it, and more. Read now at Couchbase.
What are Vector Embeddings?
This blog post explains vector embeddings, how to create them, and their applications. Discover Couchbase's vector search capabilities and more here.
A Guide to Generative AI Development
This blog post acts as a guide to developing generative AI solutions. It also includes generative AI applications and development best practices.
Top Ten Reasons to Love Couchbase Capella
Our customers apply Capella across many industries and use cases. Here are the ten reasons you'll love Capella too.
Managing Data Sprawl for Developers
Using a well architected Data Platform can save you lots of time, money, effort and headache. Because, in the end, you have less code to write and maintain.
Unlocking Next-Level Search: The Power of Vector Databases
Explore vector databases and their role in modern AI and search applications. Understand how they work, their use cases in recommendation systems, and more!
Advanced Geospatial Support added to Search Service
Couchbase Search now supports the GeoJSON spatial data formats on spherical geodesics including contain, within and intersect queries.
Couchbase Lands A Third Database Patent
Couchbase lands a third database patent for innovations in indexing JSON document-based array fields using inverted full-text search indexes.
Top Posts
- Data Modeling Explained: Conceptual, Physical, Logical
- Data Analysis Methods: Qualitative vs. Quantitative Techniques
- What are Embedding Models? An Overview
- What are Vector Embeddings?
- The Importance of Data Preprocessing in Machine Learning (ML)
- Application Development Life Cycle (Phases and Management Models)
- A Breakdown of Graph RAG vs. Vector RAG
- High Availability Architecture: Requirements & Best Practice...
- Semantic Search vs. Keyword Search: What’s the Difference?
