Category: Artificial Intelligence (AI)
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
2024 IT Survey Analyzes Current and Future Impact of AI
Couchbase’s 7th annual survey of 500 IT decision makers explores enterprise reactions to rapid AI growth, and assessing data strategy preparedness.
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!
Embracing AI From Cloud to Edge With Google Distributed Cloud and Couchbase
Google's new program enables partner solutions to work seamlessly on GDC, an AI-ready infrastructure. See how Couchbase makes it even better here.
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.
Consolidate Your Databases to Eliminate Data Sprawl, Reduce Complexity and Lower Costs
The concept of consolidation is simple, and applying its principles can bring immense benefit to any organization.
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?
- Data Analysis Methods: Qualitative vs. Quantitative Techniques
- Application Development Life Cycle (Phases and Management Models)
- What are Embedding Models? An Overview
- Six Types of Data Models (With Examples)
- What Is Data Analysis? Types, Methods, and Tools for Research
- A Breakdown of Graph RAG vs. Vector RAG
- Optimizing Multi-Agent AI Systems With Couchbase
