[카테고리:] Vector Search
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What Is DiskANN? Billion-Scale Vector Search Explained
Retrieval-augmented generation (RAG), semantic search, and AI agents all depend on one thing: the ability to quickly find the most relevant vectors in a large dataset. As embedding datasets grow from millions to billions…
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Vector Database Use Cases: Search, RAG, and AI Apps
What is a vector database? At a high level, a vector database is a specialized system for storing, managing, and querying data as high-dimensional vectors. Unlike traditional relational databases that store structured data in…
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Build a Celebrity Look-Alike App With Multimodal Vector Search and Couchbase
Most AI demos feel impressive for 30 seconds and then leave one question unanswered: How would you actually build this? This one is different. In this post, we’ll build a simple but compelling multimodal…
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Filtered ANN Search With Composite Vector Indexes (Part 4)
This post is the fourth part of a multi-part series exploring composite vector indexing in Couchbase. If you missed the previous posts, be sure to catch up on Part 1, Part 2 and Part…
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Filtered ANN Search With Composite Vector Indexes (Part 3)
This post is the third part of a multi-part series exploring composite vector indexing in Couchbase. If you missed the previous posts, be sure to catch up on Part 1 and Part 2. The…
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Filtered ANN Search With Composite Vector Indexes (Part 2)
This is the second blog post of a multi-part series exploring composite vector indexing in Couchbase, check out the first post here. The series will cover: Implementation of Composite Vector Indexes GSI uses the…
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Filtered ANN Search With Composite Vector Indexes (Part 1)
This post kicks off a multi-part series on composite vector indexing in Couchbase. We will start by building intuition, then progressively dive into internals, execution optimizations, and performance. The series will cover: Smart Grocery…
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Couchbase 8.0: Unified Data Platform for Hyperscale AI Applications
AI is reshaping how we build and run modern applications. From real-time recommendations to agentic assistants, teams need data platforms that can keep up with new performance and flexibility demands. That’s what Couchbase 8.0…
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Building Smarter Agents: How Vector Search Drives Semantic Intelligence
The way we search and interact with information has shifted dramatically over the past decade. Traditional keyword-based search engines once served us well in finding documents or answers, but today’s business challenges demand much…
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How I Built a Plant RAG Application with Couchbase Vector Search on iOS
You know that feeling when you see a beautiful plant at the store but have no idea what it is or how to care for it? That’s exactly what happened to me last spring,…
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Vector Database vs. Graph Database: Differences & Similarities
What is a vector database? A vector database is a type of database designed to store, index, and search high-dimensional vector representations of data, typically generated by machine learning models. These vectors, also known…
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Introducing Couchbase as a Vector Store in Agno
We’re excited to announce that Couchbase is now supported as a vector store in Agno. This integration brings together the best of Agno’s agent orchestration capabilities and Couchbase’s high-performance, scalable vector store. It allows…
