Video Search with MongoDB

By: @gayathriabcde , @gotlur_parnika_27c3841815 , @jhv_07 , and @gnana_1905 , under the guidance of @chanda_rajkumar Building a Retrieval-Augmented Generation (RAG) application generally involves the similar steps of: chunking text, embedding it, storing the embeddings in a vector database, and searching based on similarity. This works perfectly for text-based documents, but we can't apply these steps as-is when trying to build a RAG system for videos, specially procedural videos, where each fra