What limitation of semantic search was demonstrated in the transcript?	It can return irrelevant results (e.g., Section 3) even when highly relevant sections exist (e.g., Section 10).
What general strategy is proposed to improve RAG search results?	Implementing a hybrid approach by merging semantic search with a lexical search system.
How is lexical search defined in the context of RAG pipelines?	It is a classic text search that breaks down a query into individual words to find matching text chunks.
What does BM25 stand for?	Best Match 25.
What is the first step in the BM25 algorithm?	Tokenizing the user's query (breaking it into separate chunks/words).
How does BM25 assign relative importance to terms?	By analyzing the term's usage frequency across all documents (infrequently used terms get higher weight).
What is the final goal of the BM25 algorithm?	To find the text chunk that uses the higher weighted terms more often.
What is the expected benefit of merging semantic and lexical search results?	To achieve a better balance of search results, incorporating both semantic meaning and plain text matching.