I Built a Simple RAG App with LangChain, OpenAI, and Pinecone

Large language models know a lot, but they do not automatically know the contents of our private...

domenica 12 luglio 2026 New tab

2,658 words~12 min read

Large language models know a lot, but they do not automatically know the contents of our private files, company documents, notes, or recently written articles.

This is where Retrieval-Augmented Generation, commonly called RAG, becomes useful.

In this project, I built a small RAG application that:

Reads a text document.

Breaks the document into smaller sections.

I Built a Simple RAG App with LangChain, OpenAI, and Pinecone

I Built a Simple RAG App with LangChain, OpenAI, and Pinecone

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Related reading

Building a Production-Ready RAG Application with LangChain, pgvector, and Gemini

Build a RAG application with Runware and LangChain

Chat with your documents: agentic RAG in a few lines

Building a Local-Only RAG System with Ollama and TypeScript

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