Atlas Search eWorkshop (English)

9am GMT / 10am CET

Join the MongoDB team for a three hour workshop dedicated to AI applications to discover why MongoDB Atlas is the ideal platform to build modern semantic search apps, leveraging text search, vector search and large language models.

During this workshop, you will be able to learn more about features of the MongoDB's Developer Data Platform, including a follow-along, hands-on project to implement an AI application. We will cover various functionalities of MongoDB, as well as useful LLM techniques.

In particular:

• Leverage Atlas to build a semantic search using LLMs for pre-summarization and information extraction
• Learn how to get started developing your first semantic search app Atlas with a free cluster
• Use automatic client side encryption to store user secrets securely (we're going to access users Google Drive Docs!)
• Learn about the pre-summarization technique, an alternative to chunking techniques
• Store LLM interactions and keep track of model usage and costs using Atlas Charts
• Use langchain to compare costs & performance of various models, featuring open-source models, OpenAI, Anthropic, Cohere & Mistral.
• Implement access control for vector search
• Build a basic RAG pipeline to search across stored facts