Vector Search and Embeddings in Organizations: Harnessing Language Models and Vector Indexing

Join Nils Reimers (leading developer of state-of-the-art vector search methods using transformer networks at Cohere), and Etienne Dilocker (Co-Founder and CTO of Weaviate, an open-source vector database) for the NLP Jumpstart session.

They will take you through the triple vector journey of vector search, vector embeddings, and vector indexing. You will learn how organizations can take advantage of large language models (LLMs) for their search, NLP tasks, and generative needs. Then they will answer how LLMs coupled with vector databases will help you take it all to production in public (or hybrid) managed cloud environments or your local setup. 

By the end of this session, attendees will have a clear understanding of LLMs and vector databases, how they work together, and how to take your search NLP tasks to production.

Register now to reserve your spot.