Though vector support in databases has become table stakes in 2024, it’s often up to users to figure out and manage the process of converting existing data into vector embeddings.

To create a knowledge base, we will need ways to import multiple kinds of documents into the vector database. For this we can use loaders and parsers from libraries such as LangChain or LlamaIndex ...

Milvus, a Linux Foundation AI and data project, for example, is a well-known vector database of choice among enterprises that’s easy to try out because of its vibrant open source development.

While that database is at the core of what the company is doing, it is moving toward a more refined use case for that database around AI-driven search, helping those data scientists ...

Vector databases are all the rage, judging by the number of startups entering the space and the investors ponying up for a piece of the pie. The proliferation of large language models (LLMs) and ...

In a time of tight capital, Pinecone, a vector database startup has defied the convention and raised $100M Series B. When Pinecone launched a vector database aimed at data scientists in 2021, it ...