Building Advanced RAG Apps with MongoDB, Unstructured, and LangGraph

12 P.M. ET

Whether you are building advanced search applications, intelligent chatbots, or agentic systems involving a RAG component, this webinar will provide you with actionable insights to take your LLM applications to the next level.

Join Apoorva Joshi, Senior Developer Advocate at MongoDB, and Maria Khalusova, Staff Developer Advocate at Unstructured where they will show you how to leverage Unstructured.io to build a data processing pipeline to chunk, embed, and extract rich metadata from raw documents.

You will also learn how to use MongoDB Atlas Vector Search and MongoDB’s Aggregation framework to seamlessly combine the extracted metadata with embeddings to improve the retrieval quality and relevance of semantic search. Finally, you will learn how to orchestrate a RAG system with a self-querying retriever using LangGraph.