Building a RAG Pipeline From Scratch With LangChain + Pinecone + Claude: A Real Implementation - DEV Community

This page provides a comprehensive implementation guide for building a production-grade RAG (Retrieval-Augmented Generation) pipeline using LangChain, Pinecone, and Claude. Rather than a simple demo, it focuses on creating a real-world system suitable for client products. The guide covers document ingestion, intelligent chunking strategies, embedding into Pinecone, hybrid search retrieval, grounded answer generation with Claude, and system evaluation. It emphasizes that production RAG requires deliberate engineering at every pipeline stage, explaining design decisions and addressing common pitfalls beyond basic tutorials.