by Neil Kanungo and Steve Wilcockson
This week, KX made KDB.AI Cloud generally available, a vector database for real-time contextual AI, that enhances Natural Language Processing and Generative AI search applications with relevancy at scale.
Read the KX announcement: KX Announces KDB.AI Cloud: The Free, Smarter Vector Database for AI.
Unique among vector databases, KDB.AI Cloud enables developers to bring temporal and semantic context and relevancy to their AI-powered application. KDB.AI Cloud works seamlessly with popular LLMs and machine learning workflows and tools, including LangChain and ChatGPT, while native support for Python and RESTful APIs means developers can perform common operations like data ingestion, search, and analytics using their preferred applications and languages.
Sign up for free for our Starter Edition. Within minutes, you’ll be performing contextual search with time-based and semantic relevancy.
Follow examples, with code, at the KDB.AI Learning hub.
- Document Search
- Image Search
- LangChain & Retrieval Augmented Generation (RAG)
- Recommendation Systems
- Pattern Matching and Outliers
- Sentiment Analysis
Also on the KDB.AI Learning hub, explore industry use cases for practical applications:
Follow the articles for backgrounders and information
- Vector Database 101
- Vector Embeddings
- Methods of Similarity
- Indexing Basics
- Mechanics of Search
- Large Language Model Architecture
Start Building Contextual Apps With Real-Time Data today!
