“A vector database organizes and stores vectors - numerical representations of words or phrases generated by LLMs - in a structured way,” explained Mark Nijmeijer, senior director of product ...

By using the familiar workhorse, Postgres, we’ll try to take some of the mystery out of vector databases. RAG with Postgres in two parts In this exploration we will do our coding in two parts.

I'll be showing you how to build local AI agents using Python. We'll be using Ollama, LangChain, and something called ChromaDB; to act as our vector search database. All of this will be local and free ...

Vector databases and indexes underpin a lot of that, according to Shams. “The difference is, it’s really easy today to build an experiment with a vector index.

Today, PlanetScale, the well-funded MySQL database company founded by the co-creators of the Vitess open source project, announced that it is forking MySQL in order to add vector support — in ...

Zilliz, the company behind the world's most popular open-source vector database Milvus, today announced it has been recognized as both "Highest Performer" and "Easiest to Use" in G2's Summer 2025 Grid ...

Vector database company Zilliz announced a $60 million extension of its initial $43 million Series B round, bringing its total funding to $113 million. ... and has been starred by Github users over 11 ...

Vinogradova’s named her database ZVDB-Z80 and describes it as “a Vector Database developed entirely in ABAP, designed to offer ... Naturally, the code is on GitHub, ...

Vector Databases excel in conducting large-scale similarity searches and streamlining data management for cutting-edge AI applications. Their key advantage lies in supporting specialized vector ...

Machine learning is primarily concerned with accuracy and pattern recognition, while natural language processing (NLP) is concerned with computer-human language interactions, specifically how to ...