Building a Production RAG Pipeline with Hybrid Retrieval and LangChain

Short summary

Production RAG systems require three key improvements: hybrid retrieval combining multiple search methods, reranking for result quality, and comprehensive metrics tracking. This moves beyond basic tutorials to address real deployment challenges.

• •Basic RAG only gets 70% of the way to production-ready systems
• •Hybrid retrieval and rerankers fix common failure modes
• •Measurement and monitoring are critical for reliability

Generated with AI, which can make mistakes.