In today's data-saturated world, effective research isn't just about accessing information—it's about finding the right information efficiently. Let's explore how Gemini can function as a sophisticated research agent, using a fusion deep research approach to intelligently determine what information is necessary and when to search external sources.
EmbedAnything is an open-source Rust/Python framework that lets you generate vector embeddings for any data (text, images, audio) with minimal code. It's blazing fast, memory-efficient, and can handle massive datasets through vector streaming - meaning you can process 10GB+ files without running out of RAM. Whether you're building a search engine or recommendation system, you can start with pip install embed-anything and a few lines of Python.
Introducing vector streaming in EmbedAnything, a feature designed to optimize large-scale document embedding. By enabling asynchronous chunking and embedding using Rust’s concurrency, it reduces memory usage and speeds up the process. We also show how to integrate it with the Weaviate Vector Database for seamless image embedding and search.