Process Diverse Data Types at Scale: Through the Unstructured partnership, organizations can automatically parse and transform documents, PDFs, images, and audio into high-quality embeddings at ...
Here’s a quick library to write your GPU-based operators and execute them in your Nvidia, AMD, Intel or whatever, along with my new VisualDML tool to design your operators visually. This is a follow ...
How Effective is Matrix Reordering for Improving Performance of Sparse Matrix-Vector Multiplication?
Abstract: This work evaluates the impact of matrix reordering on the performance of sparse matrix-vector multiplication across different multicore CPU platforms. Reordering can enhance performance by ...
In this tutorial, we build an elastic vector database simulator that mirrors how modern RAG systems shard embeddings across distributed storage nodes. We implement consistent hashing with virtual ...
Abstract: Understanding the causes of performance gaps between a portable programming model and a vendor-specific programming model is important for improving performance portability. This paper ...
A complete, educational implementation of Retrieval-Augmented Generation (RAG) using Python, FastAPI, local embeddings, Chroma vector database, and Ollama LLM. This project is designed to teach RAG ...
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