Dev Tools · 1h ago
Build a RAG App with LangChain, OpenAI, and Pinecone
A developer built a simple Retrieval-Augmented Generation (RAG) app using LangChain, OpenAI embeddings, and Pinecone. The app ingests documents, splits them into chunks, stores embeddings, and retrieves relevant sections to ground AI answers. It demonstrates a practical pipeline for adding private data to LLMs without fine-tuning.
Meridian48 take
A solid tutorial for developers new to RAG, but production use would require handling chunk overlap, metadata filtering, and evaluation of retrieval quality.
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I Built a Simple RAG App with LangChain, OpenAI, and Pinecone →
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