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
How Adaptive Applications Unlock Innovation in a New AI Age
We stand on the verge of a generative AI (GenAI) revolution. Some 98% of organizations have specific GenAI goals for 2024 — accounting for nearly a third of digital modernization spend last year and in 2024, according to new research...
Tyler Mitchell - Senior Product Marketing Manager
June 11, 2024
Couchbase Capella™ Wins Two Awards in the 2024 Stevie American Business Awards
As the cloud database market continues to evolve, Couchbase is committed to providing unmatched versatility, performance, and scalability to empower customers and partners to be at the forefront of innovation. As a testament to Couchbase’s continued advancements, we’re thrilled to...
James Kim, Corporate Communications Manager
June 4, 2024
Querying Vectors And Things That Can Go Wrong With Them
Couchbase 7.6 introduces Vector Search into the Couchbase architecture, expanding its search capabilities by leaps and bounds. This article showcases how this affects search queries, how we have to adapt in certain situations and how to efficiently use this latest...
Likith B, Software Engineer
May 28, 2024
Hybrid Search: An Overview
What Is Hybrid Search? Hybrid search typically refers to a search approach that combines multiple search methodologies or technologies to provide more comprehensive and accurate results. In the context of information retrieval, hybrid search often involves blending traditional keyword-based searching...
Couchbase Product Marketing
May 23, 2024
Building Real-world AI Applications at the Beeloud and Build 2024 AI Hackathon
Couchbase recently sponsored the Beeloud and Build 2024 AI Hackathon. BeeLoud’s (the event’s organizer) goal was to put the Vancouver tech scene on the map and explore the AI world alongside impactful and high-profile builders, mentors, and investor judges. Beeloud...
Matt Spillar - Product Marketing Manager
May 22, 2024
Twitter Thread tl;dr With AI? Part 2
In part 1 we saw how to scrape Twitter, turn tweets in JSON documents, get an embedding representation of that tweet, store everything in Couchbase and how to run a vector search. These are the first steps of a Retrieval...
Laurent Doguin, Developer Advocate, Couchbase
May 17, 2024
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...
Aditi Ahuja, Software Engineer
May 15, 2024
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...
Laurent Doguin, Developer Advocate, Couchbase
May 7, 2024
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...
Binh Le
March 25, 2024
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...
Couchbase Product Marketing
March 14, 2024