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

What are Foundation Models? (Plus Types and Use Cases)
This blog post will explain what foundation models are and how they work, along with providing information on types of models and how to train them.

Chat With Couchbase Technical Documentation
Meet our AI-powered chatbot for Couchbase technical documentation, designed to provide real-time answers and simplify complex topics. Get help instantly!

Couchbase Server 7.6 Top New Features For Developers
With a leap in AI/ML integration, Couchbase Server 7.6 empowers developers to build more intelligent and responsive applications. View them all here.

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.

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.

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.

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!
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