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
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.
Vector search is coming to Couchbase Lite, sign up for beta!
Be among the first to innovate with Couchbase Mobile, the database platform with cloud-to-edge-to-device vector search!
A Guide to Vector Search
Find an overview of the definition of vector search, its capabilities, various strategies, and more here. Couchbase also discusses its future here.
An Overview of Retrieval-Augmented Generation (RAG)
This blog post provides an overview of retrieval-augmented generation, explaining how it's used, how to implement it, and more. Read now at Couchbase.
Top Posts
- Data Modeling Explained: Conceptual, Physical, Logical
- Data Analysis Methods: Qualitative vs. Quantitative Techniques
- What are Embedding Models? An Overview
- What are Vector Embeddings?
- A Breakdown of Graph RAG vs. Vector RAG
- Semantic Search vs. Keyword Search: What’s the Difference?
- What Is Data Analysis? Types, Methods, and Tools for Research
- Application Development Life Cycle (Phases and Management Models)
- A Guide to Vector Search
