Pinecone is a vector database for production environments, providing high-performance vector storage, indexing, and similarity retrieval capabilities, suitable for building applications that rely on vector search, such as semantic search and recommendation systems.

JAX is a high-performance numerical computing library launched by Google, providing a NumPy-like API and supporting GPU/TPU acceleration, automatic differentiation, just-in-time compilation (JIT), and vectorization.

Gemma is a family of lightweight, advanced open AI models developed by Google DeepMind and other Google teams. Built on the same technology as the Gemini models, it is designed to help developers and researchers build responsible AI applications. The Gemma model family includes models with two weight sizes: Gemma 2B and Gemma 7B, offering both pretrained and instruction-tuned versions, with support for multiple frameworks such as JAX, PyTorch, and TensorFlow for efficient operation across different devices.