Thought Leadership Tag

Don’t Build Your Future on Specialized Vector Databases

With the rise of AI, vector databases have gained significant attention due to their ability to efficiently store, manage and retrieve large-scale, high-dimensional data. This capability is crucial fo ...

RAG vs. Large Context LLMs: RAG Will Stick Around

Generative AI’s (GenAI) iteration speed is growing exponentially. One outcome is that the context window — the number of tokens a large language model (LLM) can use at one time to generate a response ...

SQL Vector Databases are Shaping the New LLM and Big Data Paradigm

The rise of powerful large language models (LLMs) like GPT-4, Gemini 1.5 and Claude 3 has been a game-changer in AI and technology. With some models capable of processing over [1 million tokens](https ...

SQL+Vector: Empowering GenAI Applications with Relational Vector Databases

This article is based on the keynote speech given by MyScale CEO at The AI Conference 2023. Vector Databases + LLMs is a Key Stack to Build GenAI Applications In a ...