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Rag Coding by anisahfirdaws1810 is a document available to read on EtoBox.

The document outlines the construction of a Retrieval-Augmented Generation (RAG) pipeline, detailing various components such as document embedding, cosine similarity for retrieval, chunking with overlap, and multi-document retrieval. It also discusses advanced topics like hybrid search, re-ranking, and metadata filtering, providing code snippets for each functionality. The document serves as a comprehensive guide for building and understanding RAG systems in AI engineering interviews.

Author
anisahfirdaws1810
Language
EN