Turbocharge Your AI with RAG - In Person

## Turbocharge Your AI with RAG

Join us on January 17 at 1204 San Antonio for an immersive evening focused on the power of Retrieval Augmented Generation (RAG). This event is tailored for AI enthusiasts eager to advance their skills and understanding of AI technologies.

### Event Overview

Date: January 17, 2024 Location: 1204 San Antonio

### Event Schedule

#### 6:00 PM - 7:00 PM: Networking Mixer

• Details: Start the event with a mixer, providing an opportunity to reconnect with the AI community after the holidays. Enjoy light refreshments and engaging conversations.

#### 7:00 PM: News and Announcements

• Details: A session to catch up on the latest developments in AI and LangChain.

#### 7:20 PM: News and Announcements

• Details: Image description and generation using local LLM's

#### 7:35 PM: Introduction to Retrieval Augmented Generation (RAG)

• Details: Delve into the theory behind RAG and its applications in AI.

#### 7:50 PM: Hands-on Lab 1 - Implementing RAG with LangChain

• Duration: 30 minutes
• Objective: Set up a RAG toolchain using LangChain in Google Colab.
• Requirements: OpenAI API Key (for accessing LLMs).
• Activity: Participants will connect their Google Drive and utilize their OpenAI API Key to integrate files into a RAG toolchain, offering practical experience in configuring advanced AI models.

#### 8:30 PM: Hands-on Lab 2 - Deploying RAG with LangServe and Docker

• Duration: 30 minutes
• Objective: Deploy a RAG toolchain in local Docker containers.
• Requirements: Laptop with Docker installed.
• Activity: This lab focuses on the deployment aspect, where participants will use LangServe to deploy a RAG toolchain into their local Docker environment, providing hands-on experience in the deployment of AI systems.

### Event Conclusion

#### 9:00 PM: Closing Remarks and Q&A

• Details: Conclude the event with a final discussion, addressing any questions and summarizing the key takeaways from the evening.

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### Important Information for Participants

• Preparation: Please ensure to have an OpenAI API Key for the first lab and Docker installed on your laptop for the second lab.
• Target Audience: This event best suits those who have reviewed LangChain 101 and want to deepen their understanding and practical skills.