Advanced Retrieval Pipeline for RAG (HyDE, Hybrid Search, Reranking) | Build 100% Local Retrieval

Most RAG tutorials stop at simple vector search. In production, this fails. Users search for specific IDs, acronyms, and keywords that semantic embeddings miss. In this video, we'll build an Advanced Retrieval Pipeline from scratch using Python and PostgreSQL. We'll combine Vector Search (Semantic) with Full-Text Search (Keyword) and layer on Reranking algorithms to get the best of both worlds. AI Academy: https://www.mlexpert.io/ LinkedIn: https://www.linkedin.com/in/venelin-valkov/ Follow me on X: https://twitter.com/venelin_valkov Discord: https://discord.gg/UaNPxVD6tv Subscribe: http://bi…