In 2018, when Anton Troynikov finished graduate school in Germany and moved back to the US, he was itching to dive back into the Bay Area's tech scene. He immediately emailed every computer vision or ...

Vector databases don't get as much love as their flashier counterparts, large language models (LLMs). But the startups building them are still crucial to the current AI revolution, and investors are ...

This expansion is fueled by the rapid adoption of AI, LLMs, and multimodal applications that require high-performance vector search, scalable indexing, and real-time retrieval. By offering, the ...

Vector databases emerged as a must-have technology foundation at the beginning of the modern gen AI era. What has changed over the last year, however, is that vectors, the numerical representations of ...

Chroma helps manage vector embeddings, or numerical representations of data AI models can process. This is a key technology for generative AI founders building on top of models like OpenAI's GPT-4.