Why your laptop won't cut it in the age of vector embeddings, LLMs, and artificial general intelligence

Large-scale users of Cassandra, like Uber and Apple, exemplify how this database system can effectively lower the risk in AI/ML projects.

Learn how vector search to drive results with customer promotions at a big-box retailer. 

Learn how a hypothetical distributed systems and AI specialist uses vector search to fine tune a retailer's trucking routes.

Check out this new way to provide the huge population of JavaScript developers access to the most powerful vector database in the world, through a simple API.

DataStax had to move fast to add this foundational AI-enablement feature. Here’s how ChatGPT, Copilot and other AI tools helped us build the code.

As you research vector search options, you’ll need to consider the following hard problems and the different approaches to solving them.

An examination of three methods to stop LLMs from hallucinating: Retrieval-augmented generation (RAG), reasoning, and iterative querying.

Amazon Neptune, the managed graph database service by AWS, makes analytics faster and more agile while introducing a vision aiming to simplify graph databases.

we look at how suboptimal embedding models, inefficient chunking strategies and a lack of metadata filtering can make it hard to get relevant responses from you

In this article, we will explore another well-known vector store called ChromaDB. Chroma DB is a vector store that is open-source.