Advanced RAG

A deep dive into advanced Retrieval-Augmented Generation techniques for building production-grade search and Q&A systems.

Why decomposing queries into structured filters before semantic search improves retrieval precision and performance.

Using Hypothetical Document Embeddings to bridge vocabulary gaps between user queries and specialized document corpora.

Using LLM-based classification as a second pass to filter retrieval candidates when similarity thresholds fail to generalize.