Unify Project Demo - RAG Playground with LangChain

Explore a cutting-edge LangChain RAG Playground developed by Unify contributors Oscar, Anthony, and Martin in this 11-minute project demonstration. Learn how to leverage an app built on Langchain and Unify that allows users to upload PDF files and interact with an LLM for document analysis in a playground environment. Discover the power of comparing LLM performance across various endpoint providers to optimize speed, latency, and cost requirements using dynamic routing features. Access the live application at https://unify-rag-playground.streamlit.app/ and delve into the source code on GitHub at https://github.com/Anteemony/RAG-Playground. Gain insights into the intersection of AI, LLMs, machine learning, and RAG technologies while exploring this innovative project.