Demo: How to use RAG with Langchain and Llama 2

Join Hudson Buzby, our Solutions Architect, in this webinar to explore the groundbreaking advancements in AI language models with Retrieval-Augmented Generation (RAG) and Large Language Models (LLM). 

This session includes a live demo and will delve into:

Overcoming Static Knowledge

‍Learn how RAG enhances LLMs by breaking free from static knowledge, sourcing real-time data, and providing more contextually relevant responses​​.‍

Expanding Knowledge Horizons

Understand how RAG leverages external databases, minimizing the need for exhaustive retraining and keeping AI systems up-to-date​​.‍

Boosting Domain-Specific Responses

Discover how RAG draws from specialized databases to provide detailed, accurate answers, balancing breadth and depth in information retrieval​​.

RAG Architecture

Gain insights into the architecture of RAG, including its data ingestion pipeline, retrieval mechanism, and generation component​​.

This session is ideal for AI enthusiasts, professionals, and researchers eager to learn about the next frontier in dynamic, context-aware language modeling.