Self Querying Retrieval

🧠 The Concept In standard RAG, the system is a bit "dumb." If you ask for "Romantic movies from the 90s" , a standard vector search just looks for the words "Romantic" , "movies" , and "90s" . It doesn't actually understand that "90s" is a date range or a category. Self-Querying Retrieval changes this by giving the LLM a "Search Bar" and "Filters". 1. The Analysis: The LLM looks at your query first. 2. The Translation: It separates the semantic meaning from the query (the "facts" like date, rat