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EP. 262 Solving Unstructured Data Challenges with AI & Vector Search episode artwork

EPISODE · Apr 16, 2025 · 56 MIN

EP. 262 Solving Unstructured Data Challenges with AI & Vector Search

from The MongoDB Podcast · host MongoDB

**(Note: Spotify listeners can also watch the screen sharing video accompanying the audio. Other podcast platforms offer the audio-only version.)** Struggling with millions of unstructured documents, legacy records, or scattered data formats? Discover how AI, Large Language Models (LLMs), and MongoDB are revolutionizing data management in this episode of the MongoDB Podcast.Join host Shane McAllister and the team as they delve into tackling complex data challenges using cutting-edge technology. Learn how MongoDB Atlas Vector Search enables powerful semantic search and Retrieval Augmented Generation (RAG) applications, transforming chaotic information into valuable insights. Explore integrations with popular frameworks like Langchain and Llama Index.Find out how to efficiently process and make sense of your unstructured data, potentially saving significant costs and unlocking new possibilities.Ready to dive deeper?#MongoDB #AI #LLM #LargeLanguageModels #VectorSearch #AtlasVectorSearch #UnstructuredData #Podcast #DataManagement #RAG #SemanticSearch #Langchain #LlamaIndex #Developer #BigData

Episode metadata supplied by the publisher feed · Published Apr 16, 2025

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EP. 262 Solving Unstructured Data Challenges with AI & Vector Search

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