Understanding hybrid search RAG for better AI answers

This post details the implementation of hybrid search within a RAG pipeline using Meilisearch for keyword retrieval (BM25) and FAISS with Sentence Transformers for semantic retrieval. It explains how to combine results using Reciprocal Rank Fusion (RRF) and provides a Python code walkthrough for building a recipe assistant chatbot. The post also discusses the benefits of hybrid search for LLMs, such as improved accuracy and robustness, and outlines challenges like ranking and latency, offering solutions like weighted scoring and RAG evaluations.