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

Vector Search Performance: The Rise of Recall
Introducing vector search (KNN), with its distance-based similarity scoring, into the existing Search paradigm necessitated a shift in how we thought about “relevant” results and how to measure them. Text based indexes use tf-idf as their scoring mechanism with the...

Twitter Thread tl;dr With AI? Part 1
Because who has the time ? (also part 1 because it took me further than I expected 😬) Couchbase recently introduced support for Vector Search. And I have been looking for an excuse to play with it. As it turns...

What are Foundation Models? (Plus Types and Use Cases)
What is a Foundation Model? A foundation model is a powerful type of artificial intelligence (AI) trained on massive amounts of general data, allowing it to tackle a broad range of tasks. Foundation models, such as OpenAI’s GPT (Generative Pre-trained...

Chat With Couchbase Technical Documentation
Couchbase community: Meet the Couchbase Docs chatbot, your new Generative AI-powered documentation assistant. Now available on the docs.couchbase.com website, the new chatbot will transform the way you learn about Couchbase products. It’s like having a Couchbase expert that’s always on...

Couchbase Server 7.6 Top New Features For Developers
We are thrilled to announce the launch of Couchbase 7.6, a groundbreaking update poised to redefine the landscape of database technology. This latest release is a testament to our commitment to enhancing database technology, with a significant leap in AI...

What is Vector Similarity Search?
Vector Similarity Search Overview Vector similarity search is a technique that finds similar content or data according to their vector representations. Imagine each piece of data as a collection of numbers arranged in a specific way. By comparing these collections...