Advanced RAG: Chunking, Embeddings, and Vector Databases

Explore advanced concepts in Retrieval Augmented Generation (RAG) models through this informative talk by Yujian from Zilliz. Delve into the intricacies of chunking, embeddings, and vector databases, and their crucial roles in enhancing RAG performance. Discover how chunking optimizes information retrieval efficiency, learn to implement embeddings for more accurate text representation, and explore the power of vector databases in managing and speeding up the retrieval process. Gain valuable insights into deploying LLMs in production environments, as part of the LLMOps Space community's focus on practical applications of language models. Join a global network of LLM practitioners and access discussions, events, and resources dedicated to advancing LLMOps knowledge and implementation.

Advanced RAG: Chunking, Embeddings, and Vector Databases | LLMOps