Category: Search
Querying Vectors And Things That Can Go Wrong With Them
For the best vector searches, you need to be aware of slow queries caused by inefficient indexes, inefficient queries or frequently changing data, etc.
Hybrid Search: An Overview
This blog post breaks down what hybrid search is and how it works. Learn how Couchbase can help you incorporate it (and its benefits) into your applications.
Building Real-world AI Applications at the Beeloud and Build 2024 AI Hackathon
For this event, 200+ people gathered in Vancouver, London, and virtually around the world - including developers, architects, designers, product managers, and product marketers.
Delivering Customer-Oriented AI Applications
Customer 360 applications, often built on NoSQL database and AI tech, go by many names: single view, golden record, source of truth, and more - all make reference to having a 360-degree view of the customer to provide meaningful, timely, and engaging customer insight.
Twitter Thread tl;dr With AI? Part 2
Build a Streamlit app that uses LangChain and Vector Search for JSON data taken from Twitter and indexed in Couchbase NoSQL database for interactive Chat.
Vector Search Performance: The Rise of Recall
Since the recall/latency tradeoff is a crucial one in vector search, we wanted to allow the user some flexibility in which way they wanted to lean.
Twitter Thread tl;dr With AI? Part 1
Discover how Couchbase Vector Search can enable RAG architecture through a real live example: summarizing a twitter thread with a LLM
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.
Top Posts
- Data Modeling Explained: Conceptual, Physical, Logical
- What are Vector Embeddings?
- What are Embedding Models? An Overview
- Data Analysis Methods: Qualitative vs. Quantitative Techniques
- A Breakdown of Graph RAG vs. Vector RAG
- Application Development Life Cycle (Phases and Management Models)
- Six Types of Data Models (With Examples)
- What Is Data Analysis? Types, Methods, and Tools for Research
- Semantic Search vs. Keyword Search: What’s the Difference?
