How to build a production RAG pipeline in Python (without a vector database)

This tutorial demonstrates how to build a production Retrieval-Augmented Generation (RAG) pipeline in Python using BM25 retrieval and Meilisearch, without needing a vector database. It argues that this approach is simpler and more cost-effective for domain-specific corpora compared to traditional semantic search.