Per Kops: Architecture of Ollama and Local LLMs - Episode 342
Azure & DevOps Podcast
Understanding Vector Databases in RAG Systems
This chapter explores embeddings in machine learning, particularly within the Retrieval Augmented Generation architecture. It discusses the processing of documents into embeddings, the role of vector databases in information retrieval, and the importance of data management strategies for effective querying. Additionally, the chapter examines the integration of Azure services for implementing vector stores and the challenges of document indexing.
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