Lucas Althoff’s Post

Learned how to create a Multimodel RAG system, Leveraging BridgeTower Embeddings, UMAP, and LLaVA to create a cutting-edge video search and retrieval system.

Check out this link shortened with Bitly https://bit.ly/4dXhYvT

What is the Z-Transform? What does its formula tell us? What is the use of the Z-Transform? My article "Introduction to the Z-Transform: Understanding Discrete-Time Signals" answers these questions.

A Must watch for all RAG enthusiasts. A gem of video vy Qdrant. Optimizing ColPali for Retrieval at Scale, from Theory to Practice Main Takeaways: 1. Visual RAG 2. Vector Quantization 3. Some business use cases. Watch it here: https://lnkd.in/e-dYEfyF

Struggling to keep up with new RAG variants? An easy to undertand post by Weaviate And here are some resources: Vanilla RAG: bit.ly/3ZzIWES Advanced RAG: bit.ly/49JaKuY Multimodal RAG: bit.ly/41EzCT0 Agentic RAG: bit.ly/41EHPGK

Join us for an engaging webinar where we show you how to turbocharge performance and minimize power consumption by harnessing the power of custom instructions using the TIE language. Don't miss this opportunity to optimize your processors like never before! https://ow.ly/b3yg50Tf1bi

Select the right tool based on the type of information and its required level of thinking. https://lnkd.in/eVpWZ-W9

ARAGOG: Advanced RAG Output Grading Retrieval Augmented Generation (RAG) = how to incorporate external knowledge sources into text generation process, thus enhancing the models’ ability to produce contextually relevant and in formed outputs.

https://lnkd.in/g2U4r5P2 Around 39 minute mark, he discusses discrete inputs, and why they’re better

Select the right tool based on the type of information and its required level of thinking. https://lnkd.in/esWrnPvA