databases

Recommender Systems Using LLMs and Vector Databases

Recommender systems are in every single place — whether you’re on Instagram, Netflix, or Amazon Prime. One common element among the many platforms is that all of them use recommender systems to tailor content...

MIT researchers introduce generative AI for databases

A brand new tool makes it easier for database users to perform...

Oracle’s HeatWave GenAI: The Way forward for AI-Powered Databases

Oracle has recently announced HeatWave GenAI, a collection of generative AI capabilities integrated directly into its cloud database offering. With this release, Oracle becomes the primary major player to embed large language models (LLMs)...

Back to Basics: Databases, SQL, and Other Data-Processing Must-Reads

Feeling inspired to jot down your first TDS post? We’re at all times open to contributions from recent authors.Our collective attention has focused so intensely on LLMs previously 12 months or so, that it’s...

What’s Multitenancy in Vector Databases?

While you upload and manage your data on GitHub that nobody else can see unless you make it public, you share physical infrastructure with other users. That is because GitHub uses multitenancy as a...

Explaining Vector Databases in 3 Levels of Difficulty Definition: What’s a Vector Database? Vector Databases: Explain It Like I’m 5 (ELI5) Explaining Vector Databases to Digital Natives...

As you may see, vector embeddings are pretty cool.Let’s return to our example and say we embed the content of each book within the library and store these embeddings in a vector database. Now,...

Explaining Vector Databases in 3 Levels of Difficulty Definition: What’s a Vector Database? Vector Databases: Explain It Like I’m 5 (ELI5) Explaining Vector Databases to Digital Natives...

As you may see, vector embeddings are pretty cool.Let’s return to our example and say we embed the content of each book within the library and store these embeddings in a vector database. Now,...

Document-Oriented Agents: A Journey with Vector Databases, LLMs, Langchain, FastAPI, and Docker Introduction Vector Databases: The Essential Core of Semantic Search Applications Constructing a Document-Oriented Agent Experiment: Understanding...

Leveraging ChromaDB, Langchain, and ChatGPT: Enhanced Responses and Cited Sources from Large Document DatabasesDocument-oriented agents are beginning to get traction within the business landscape. Corporations increasingly leverage these tools to capitalize on internal documentation,...

Recent posts

Popular categories

ASK DUKE