{"id":1451,"date":"2026-03-27T20:54:19","date_gmt":"2026-03-27T20:54:19","guid":{"rendered":"https:\/\/digitwaves.com\/?p=1451"},"modified":"2026-03-27T21:40:57","modified_gmt":"2026-03-27T21:40:57","slug":"rag-system-with-pinecone-langgraph-guide","status":"publish","type":"post","link":"https:\/\/digitwaves.com\/index.php\/rag-system-with-pinecone-langgraph-guide\/","title":{"rendered":"Build a RAG System with Pinecone and LangGraph (Step-by-Step Guide)"},"content":{"rendered":"<h2 data-section-id=\"13gyp07\" data-start=\"428\" data-end=\"480\">Build a RAG System with Pinecone and LangGraph<\/h2>\n<h3 data-section-id=\"13ax1s5\" data-start=\"482\" data-end=\"497\"><strong>Introduction<\/strong><\/h3>\n<p data-start=\"498\" data-end=\"774\">If you want your AI app to answer questions using your own data, building a **RAG system with Pinecone and LangGraph** is the ideal approach. This guide walks you through every step, from setting up your environment to indexing documents and querying your AI, ensuring accurate, context-driven answers.<\/p>\n<p data-start=\"776\" data-end=\"855\">In this guide, you\u2019ll learn how to build a production-ready RAG pipeline using:<\/p>\n<ul data-start=\"856\" data-end=\"1009\">\n<li data-section-id=\"r66get\" data-start=\"856\" data-end=\"915\"><span class=\"hover:entity-accent entity-underline inline cursor-pointer align-baseline\"><span class=\"whitespace-normal\">LangGraph<\/span><\/span> for orchestration<\/li>\n<li data-section-id=\"ftljmc\" data-start=\"916\" data-end=\"978\"><span class=\"hover:entity-accent entity-underline inline cursor-pointer align-baseline\"><span class=\"whitespace-normal\">OpenAI<\/span><\/span> for embeddings + LLM<\/li>\n<li data-section-id=\"9zld75\" data-start=\"979\" data-end=\"1009\">Pinecone for vector search<\/li>\n<\/ul>\n<p data-start=\"1011\" data-end=\"1083\">By the end, you\u2019ll have a working system just like the one in your code.<\/p>\n<h2 data-section-id=\"1y66uop\" data-start=\"1090\" data-end=\"1117\">What is a RAG System with Pinecone and LangGraph?<\/h2>\n<p data-start=\"1119\" data-end=\"1185\">A <strong data-start=\"1121\" data-end=\"1161\">Retrieval-Augmented Generation (RAG)<\/strong> system works like this:<\/p>\n<ol data-start=\"1187\" data-end=\"1370\">\n<li data-section-id=\"574qr2\" data-start=\"1187\" data-end=\"1212\">User asks a question<\/li>\n<li data-section-id=\"1fntmd9\" data-start=\"1213\" data-end=\"1246\">Convert question \u2192 embedding<\/li>\n<li data-section-id=\"1mh6jwq\" data-start=\"1247\" data-end=\"1274\">Search vector database<\/li>\n<li data-section-id=\"vzz43u\" data-start=\"1275\" data-end=\"1304\">Retrieve relevant chunks<\/li>\n<li data-section-id=\"15zjtta\" data-start=\"1305\" data-end=\"1340\">Send context + question to LLM<\/li>\n<li data-section-id=\"11yg4fw\" data-start=\"1341\" data-end=\"1370\">Generate an accurate answer<\/li>\n<\/ol>\n<p data-start=\"1372\" data-end=\"1444\">\ud83d\udc49 This prevents hallucinations and makes your AI grounded in real data.<\/p>\n<h2 data-section-id=\"gjhzmb\" data-start=\"1451\" data-end=\"1501\">RAG Architecture with Pinecone and LangGraph<\/h2>\n<p data-start=\"1545\" data-end=\"1596\">The pipeline in a RAG system looks like this:<\/p>\n<ul data-start=\"1598\" data-end=\"1705\">\n<li data-section-id=\"1ghcoic\" data-start=\"1598\" data-end=\"1613\">Query Input<\/li>\n<li data-section-id=\"dkjvei\" data-start=\"1614\" data-end=\"1636\">Embedding (OpenAI, Claude AI, Gemini, etc.)<\/li>\n<li data-section-id=\"oixwtn\" data-start=\"1637\" data-end=\"1665\">Vector Search (Pinecone)<\/li>\n<li data-section-id=\"p6mcqx\" data-start=\"1666\" data-end=\"1686\">Context Assembly<\/li>\n<li data-section-id=\"y2tner\" data-start=\"1687\" data-end=\"1705\">LLM Generation<\/li>\n<\/ul>\n<p data-start=\"1707\" data-end=\"1766\">LangGraph connects all of this into a clean execution flow.<\/p>\n<div class=\"no-scrollbar flex min-h-36 flex-nowrap gap-0.5 overflow-auto sm:gap-1 sm:overflow-hidden xl:min-h-44 mt-1 mb-5 [&amp;:not(:first-child)]:mt-4\">\n<div class=\"border-token-border-default relative w-32 shrink-0 overflow-hidden rounded-xl border-[0.5px] md:shrink max-h-64 sm:w-[calc((100%-0.5rem)\/3)] rounded-s-xl\">\n<div class=\"group\/search-image @container\/search-image relative rounded-[inherit] h-full w-full\">\n<div><\/div>\n<\/div>\n<\/div>\n<div class=\"border-token-border-default relative w-32 shrink-0 overflow-hidden rounded-xl border-[0.5px] md:shrink max-h-64 sm:w-[calc((100%-0.5rem)\/3)]\">\n<div class=\"group\/search-image @container\/search-image relative rounded-[inherit] h-full w-full\">\n<div><\/div>\n<\/div>\n<\/div>\n<div class=\"border-token-border-default relative w-32 shrink-0 overflow-hidden rounded-xl border-[0.5px] md:shrink max-h-64 sm:w-[calc((100%-0.5rem)\/3)] rounded-e-xl\">\n<div class=\"group\/search-image @container\/search-image relative rounded-[inherit] h-full w-full\">\n<div><\/div>\n<div class=\"pointer-events-none absolute inset-x-2 bottom-2 z-0 flex max-w-[calc(100%-1rem)] flex-wrap items-end justify-end gap-1.5\">\n<div class=\"shrink-0\">\n<div class=\"flex items-center gap-1 rounded-full px-2 py-1.5 text-white backdrop-blur-md backdrop-brightness-75\">\n<h2 data-section-id=\"wm2pg7\" data-start=\"1531\" data-end=\"1589\">Step 1 \u2013 Create Project in VS Code + Virtual Environment<\/h2>\n<p data-start=\"1591\" data-end=\"1628\">Open VS Code and create a new folder:<\/p>\n<div class=\"relative w-full mt-4 mb-1\">\n<div class=\"\">\n<div class=\"relative\">\n<div class=\"h-full min-h-0 min-w-0\">\n<div class=\"h-full min-h-0 min-w-0\">\n<div class=\"border border-token-border-light border-radius-3xl corner-superellipse\/1.1 rounded-3xl\">\n<div class=\"h-full w-full border-radius-3xl bg-token-bg-elevated-secondary corner-superellipse\/1.1 overflow-clip rounded-3xl lxnfua_clipPathFallback\">\n<div class=\"pointer-events-none absolute inset-x-4 top-12 bottom-4\">\n<div class=\"pointer-events-none sticky z-40 shrink-0 z-1!\">\n<div class=\"sticky bg-token-border-light\"><\/div>\n<\/div>\n<\/div>\n<div class=\"w-full overflow-x-hidden overflow-y-auto\">\n<div class=\"relative z-0 flex max-w-full\">\n<div id=\"code-block-viewer\" class=\"q9tKkq_viewer cm-editor z-10 light:cm-light dark:cm-light flex h-full w-full flex-col items-stretch \u037c5 \u037cj\" dir=\"ltr\">\n<div class=\"cm-scroller\">\n<div class=\"cm-content q9tKkq_readonly\"><span class=\"\u037cd\">mkdir<\/span> rag-project<br \/>\n<span class=\"\u037cd\">cd<\/span> rag-project<br \/>\ncode .<\/div>\n<\/div>\n<div><strong>Directory structure:<\/strong><\/div>\n<div><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div>\n<div class=\"relative w-full mt-4 mb-1\">\n<div class=\"\">\n<div class=\"relative\">\n<div class=\"h-full min-h-0 min-w-0\">\n<div class=\"h-full min-h-0 min-w-0\">\n<div class=\"border border-token-border-light border-radius-3xl corner-superellipse\/1.1 rounded-3xl\">\n<div class=\"h-full w-full border-radius-3xl bg-token-bg-elevated-secondary corner-superellipse\/1.1 overflow-clip rounded-3xl lxnfua_clipPathFallback\">\n<div class=\"pointer-events-none absolute inset-x-4 top-12 bottom-4\">\n<div class=\"pointer-events-none sticky z-40 shrink-0 z-1!\">\n<div class=\"sticky bg-token-border-light\"><\/div>\n<\/div>\n<\/div>\n<div class=\"w-full overflow-x-hidden overflow-y-auto\">\n<div class=\"relative z-0 flex max-w-full\">\n<div id=\"code-block-viewer\" class=\"q9tKkq_viewer cm-editor z-10 light:cm-light dark:cm-light flex h-full w-full flex-col items-stretch \u037c5 \u037cj\" dir=\"ltr\">\n<div class=\"cm-scroller\">\n<div class=\"cm-content q9tKkq_readonly\">\n<h2 data-section-id=\"hxnnkz\" data-start=\"1394\" data-end=\"1419\"><\/h2>\n<div class=\"relative w-full mt-4 mb-1\">\n<div class=\"\">\n<div class=\"relative\">\n<div class=\"h-full min-h-0 min-w-0\">\n<div class=\"h-full min-h-0 min-w-0\">\n<div class=\"border border-token-border-light border-radius-3xl corner-superellipse\/1.1 rounded-3xl\">\n<div class=\"h-full w-full border-radius-3xl bg-token-bg-elevated-secondary corner-superellipse\/1.1 overflow-clip rounded-3xl lxnfua_clipPathFallback\">\n<div class=\"pointer-events-none absolute inset-x-4 top-12 bottom-4\">\n<div class=\"pointer-events-none sticky z-40 shrink-0 z-1!\">\n<div class=\"sticky bg-token-border-light\"><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<p>rag-project\/<br \/>\n\u2502\u2500\u2500 lgdemo.py<br \/>\n\u2502\u2500\u2500 ingest_docs.py<br \/>\n\u2502\u2500\u2500 .env<br \/>\n\u2502\u2500\u2500 data\/<br \/>\n\u2502\u2500\u2500 .gitignore<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<h3 data-section-id=\"w4v7di\" data-start=\"1695\" data-end=\"1725\">Create a virtual environment<\/h3>\n<div class=\"relative w-full mt-4 mb-1\">\n<div class=\"\">\n<div class=\"relative\">\n<div class=\"h-full min-h-0 min-w-0\">\n<div class=\"h-full min-h-0 min-w-0\">\n<div class=\"border border-token-border-light border-radius-3xl corner-superellipse\/1.1 rounded-3xl\">\n<div class=\"h-full w-full border-radius-3xl bg-token-bg-elevated-secondary corner-superellipse\/1.1 overflow-clip rounded-3xl lxnfua_clipPathFallback\">\n<div class=\"pointer-events-none absolute inset-x-4 top-12 bottom-4\">\n<div class=\"pointer-events-none sticky z-40 shrink-0 z-1!\">\n<div class=\"sticky bg-token-border-light\"><\/div>\n<\/div>\n<\/div>\n<div class=\"w-full overflow-x-hidden overflow-y-auto\">\n<div class=\"relative z-0 flex max-w-full\">\n<div id=\"code-block-viewer\" class=\"q9tKkq_viewer cm-editor z-10 light:cm-light dark:cm-light flex h-full w-full flex-col items-stretch \u037c5 \u037cj\" dir=\"ltr\">\n<div class=\"cm-scroller\">\n<div class=\"cm-content q9tKkq_readonly\">python <span class=\"\u037cf\">-m<\/span> venv venv<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"\">\n<div class=\"\"><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<h3 data-section-id=\"swikf6\" data-start=\"1772\" data-end=\"1787\">Activate it<\/h3>\n<p data-start=\"1789\" data-end=\"1814\"><strong data-start=\"1789\" data-end=\"1814\">Windows (PowerShell):<\/strong><\/p>\n<div class=\"relative w-full mt-4 mb-1\">\n<div class=\"\">\n<div class=\"relative\">\n<div class=\"h-full min-h-0 min-w-0\">\n<div class=\"h-full min-h-0 min-w-0\">\n<div class=\"border border-token-border-light border-radius-3xl corner-superellipse\/1.1 rounded-3xl\">\n<div class=\"h-full w-full border-radius-3xl bg-token-bg-elevated-secondary corner-superellipse\/1.1 overflow-clip rounded-3xl lxnfua_clipPathFallback\">\n<div class=\"pointer-events-none absolute inset-x-4 top-12 bottom-4\">\n<div class=\"pointer-events-none sticky z-40 shrink-0 z-1!\">\n<div class=\"sticky bg-token-border-light\"><\/div>\n<\/div>\n<\/div>\n<div class=\"w-full overflow-x-hidden overflow-y-auto\">\n<div class=\"relative z-0 flex max-w-full\">\n<div id=\"code-block-viewer\" class=\"q9tKkq_viewer cm-editor z-10 light:cm-light dark:cm-light flex h-full w-full flex-col items-stretch \u037c5 \u037cj\" dir=\"ltr\">\n<div class=\"cm-scroller\">\n<div class=\"cm-content q9tKkq_readonly\">venv\\Scripts\\activate<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"\">\n<div class=\"\"><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<p data-start=\"1862\" data-end=\"1876\"><strong data-start=\"1862\" data-end=\"1876\">Mac\/Linux:<\/strong><\/p>\n<div class=\"relative w-full mt-4 mb-1\">\n<div class=\"\">\n<div class=\"relative\">\n<div class=\"h-full min-h-0 min-w-0\">\n<div class=\"h-full min-h-0 min-w-0\">\n<div class=\"border border-token-border-light border-radius-3xl corner-superellipse\/1.1 rounded-3xl\">\n<div class=\"h-full w-full border-radius-3xl bg-token-bg-elevated-secondary corner-superellipse\/1.1 overflow-clip rounded-3xl lxnfua_clipPathFallback\">\n<div class=\"pointer-events-none absolute inset-x-4 top-12 bottom-4\">\n<div class=\"pointer-events-none sticky z-40 shrink-0 z-1!\">\n<div class=\"sticky bg-token-border-light\"><\/div>\n<\/div>\n<\/div>\n<div class=\"w-full overflow-x-hidden overflow-y-auto\">\n<div class=\"relative z-0 flex max-w-full\">\n<div id=\"code-block-viewer\" class=\"q9tKkq_viewer cm-editor z-10 light:cm-light dark:cm-light flex h-full w-full flex-col items-stretch \u037c5 \u037cj\" dir=\"ltr\">\n<div class=\"cm-scroller\">\n<div class=\"cm-content q9tKkq_readonly\"><span class=\"\u037cd\">source<\/span> venv\/bin\/activate<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"\">\n<div class=\"\"><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<h3 data-section-id=\"1sd3s69\" data-start=\"1927\" data-end=\"1960\">Select interpreter in VS Code<\/h3>\n<ul data-start=\"1961\" data-end=\"2045\">\n<li data-section-id=\"3djbjq\" data-start=\"1961\" data-end=\"1987\">Press <code class=\"\" data-line=\"\">Ctrl + Shift + P<\/code><\/li>\n<li data-section-id=\"1gswgvg\" data-start=\"1988\" data-end=\"2024\">Type: <code class=\"\" data-line=\"\">Python: Select Interpreter<\/code><\/li>\n<li data-section-id=\"12zer5b\" data-start=\"2025\" data-end=\"2045\">Choose your <code class=\"\" data-line=\"\">venv<\/code><\/li>\n<\/ul>\n<hr data-start=\"2047\" data-end=\"2050\" \/>\n<h2 data-section-id=\"g2xujp\" data-start=\"2052\" data-end=\"2098\">Step 2 \u2013 Initialize Git + Create GitHub Repository<\/h2>\n<h3 data-section-id=\"12642q4\" data-start=\"2100\" data-end=\"2126\">Initialize Git locally<\/h3>\n<div class=\"relative w-full mt-4 mb-1\">\n<div class=\"\">\n<div class=\"relative\">\n<div class=\"h-full min-h-0 min-w-0\">\n<div class=\"h-full min-h-0 min-w-0\">\n<div class=\"border border-token-border-light border-radius-3xl corner-superellipse\/1.1 rounded-3xl\">\n<div class=\"h-full w-full border-radius-3xl bg-token-bg-elevated-secondary corner-superellipse\/1.1 overflow-clip rounded-3xl lxnfua_clipPathFallback\">\n<div class=\"pointer-events-none absolute inset-x-4 top-12 bottom-4\">\n<div class=\"pointer-events-none sticky z-40 shrink-0 z-1!\">\n<div class=\"sticky bg-token-border-light\"><\/div>\n<\/div>\n<\/div>\n<div class=\"w-full overflow-x-hidden overflow-y-auto\">\n<div class=\"relative z-0 flex max-w-full\">\n<div id=\"code-block-viewer\" class=\"q9tKkq_viewer cm-editor z-10 light:cm-light dark:cm-light flex h-full w-full flex-col items-stretch \u037c5 \u037cj\" dir=\"ltr\">\n<div class=\"cm-scroller\">\n<div class=\"cm-content q9tKkq_readonly\"><span class=\"\u037cd\">git<\/span> init<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"\">\n<div class=\"\"><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<h3 data-section-id=\"1dhogge\" data-start=\"2162\" data-end=\"2183\">Create .gitignore<\/h3>\n<div class=\"relative w-full mt-4 mb-1\">\n<div class=\"\">\n<div class=\"relative\">\n<div class=\"h-full min-h-0 min-w-0\">\n<div class=\"h-full min-h-0 min-w-0\">\n<div class=\"border border-token-border-light border-radius-3xl corner-superellipse\/1.1 rounded-3xl\">\n<div class=\"h-full w-full border-radius-3xl bg-token-bg-elevated-secondary corner-superellipse\/1.1 overflow-clip rounded-3xl lxnfua_clipPathFallback\">\n<div class=\"pointer-events-none absolute inset-x-4 top-12 bottom-4\">\n<div class=\"pointer-events-none sticky z-40 shrink-0 z-1!\">\n<div class=\"sticky bg-token-border-light\"><\/div>\n<\/div>\n<\/div>\n<div class=\"w-full overflow-x-hidden overflow-y-auto\">\n<div class=\"relative z-0 flex max-w-full\">\n<div id=\"code-block-viewer\" class=\"q9tKkq_viewer cm-editor z-10 light:cm-light dark:cm-light flex h-full w-full flex-col items-stretch \u037c5 \u037cj\" dir=\"ltr\">\n<div class=\"cm-scroller\">\n<div class=\"cm-content q9tKkq_readonly\">venv\/<br \/>\n.env<br \/>\n__pycache__\/<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"\">\n<div class=\"\"><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<h3 data-section-id=\"yanhql\" data-start=\"2234\" data-end=\"2250\">First commit<\/h3>\n<div class=\"relative w-full mt-4 mb-1\">\n<div class=\"\">\n<div class=\"relative\">\n<div class=\"h-full min-h-0 min-w-0\">\n<div class=\"h-full min-h-0 min-w-0\">\n<div class=\"border border-token-border-light border-radius-3xl corner-superellipse\/1.1 rounded-3xl\">\n<div class=\"h-full w-full border-radius-3xl bg-token-bg-elevated-secondary corner-superellipse\/1.1 overflow-clip rounded-3xl lxnfua_clipPathFallback\">\n<div class=\"pointer-events-none absolute inset-x-4 top-12 bottom-4\">\n<div class=\"pointer-events-none sticky z-40 shrink-0 z-1!\">\n<div class=\"sticky bg-token-border-light\"><\/div>\n<\/div>\n<\/div>\n<div class=\"w-full overflow-x-hidden overflow-y-auto\">\n<div class=\"relative z-0 flex max-w-full\">\n<div id=\"code-block-viewer\" class=\"q9tKkq_viewer cm-editor z-10 light:cm-light dark:cm-light flex h-full w-full flex-col items-stretch \u037c5 \u037cj\" dir=\"ltr\">\n<div class=\"cm-scroller\">\n<div class=\"cm-content q9tKkq_readonly\"><span class=\"\u037cd\">git<\/span> add .<br \/>\n<span class=\"\u037cd\">git<\/span> commit <span class=\"\u037cf\">-m<\/span> <span class=\"\u037cc\">&#8220;Initial RAG project setup&#8221;<\/span><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"\">\n<div class=\"\"><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<hr data-start=\"2329\" data-end=\"2332\" \/>\n<h3 data-section-id=\"1plcg05\" data-start=\"2334\" data-end=\"2362\">Create GitHub Repository<\/h3>\n<p data-start=\"2364\" data-end=\"2412\">Go to <span class=\"hover:entity-accent entity-underline inline cursor-pointer align-baseline\"><span class=\"whitespace-normal\">GitHub<\/span><\/span> and:<\/p>\n<ol data-start=\"2413\" data-end=\"2524\">\n<li data-section-id=\"urgz2i\" data-start=\"2413\" data-end=\"2440\">Click <strong data-start=\"2422\" data-end=\"2440\">New Repository<\/strong><\/li>\n<li data-section-id=\"qo7791\" data-start=\"2441\" data-end=\"2466\">Name it: <code class=\"\" data-line=\"\">rag-project<\/code><\/li>\n<li data-section-id=\"r5f1p9\" data-start=\"2467\" data-end=\"2524\">Do NOT initialize with README (you already have files)<\/li>\n<\/ol>\n<h3 data-section-id=\"1i9d49v\" data-start=\"2526\" data-end=\"2558\">Connect local repo to GitHub<\/h3>\n<div class=\"relative w-full mt-4 mb-1\">\n<div class=\"\">\n<div class=\"relative\">\n<div class=\"h-full min-h-0 min-w-0\">\n<div class=\"h-full min-h-0 min-w-0\">\n<div class=\"border border-token-border-light border-radius-3xl corner-superellipse\/1.1 rounded-3xl\">\n<div class=\"h-full w-full border-radius-3xl bg-token-bg-elevated-secondary corner-superellipse\/1.1 overflow-clip rounded-3xl lxnfua_clipPathFallback\">\n<div class=\"pointer-events-none absolute inset-x-4 top-12 bottom-4\">\n<div class=\"pointer-events-none sticky z-40 shrink-0 z-1!\">\n<div class=\"sticky bg-token-border-light\"><\/div>\n<\/div>\n<\/div>\n<div class=\"w-full overflow-x-hidden overflow-y-auto\">\n<div class=\"relative z-0 flex max-w-full\">\n<div id=\"code-block-viewer\" class=\"q9tKkq_viewer cm-editor z-10 light:cm-light dark:cm-light flex h-full w-full flex-col items-stretch \u037c5 \u037cj\" dir=\"ltr\">\n<div class=\"cm-scroller\">\n<div class=\"cm-content q9tKkq_readonly\"><span class=\"\u037cd\">git<\/span> remote add origin https:\/\/github.com\/YOUR_USERNAME\/rag-project.git<br \/>\n<span class=\"\u037cd\">git<\/span> branch <span class=\"\u037cf\">-M<\/span> main<br \/>\n<span class=\"\u037cd\">git<\/span> push <span class=\"\u037cf\">-u<\/span> origin main<\/div>\n<div>\n<hr data-start=\"2827\" data-end=\"2830\" \/>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<h2 data-section-id=\"f1d1b0\" data-start=\"2704\" data-end=\"2735\">Step 3 \u2013 Install Dependencies for RAG System with Pinecone and LangGraph<\/h2>\n<div class=\"relative w-full mt-4 mb-1\">\n<div class=\"\">\n<div class=\"relative\">\n<div class=\"h-full min-h-0 min-w-0\">\n<div class=\"h-full min-h-0 min-w-0\">\n<div class=\"border border-token-border-light border-radius-3xl corner-superellipse\/1.1 rounded-3xl\">\n<div class=\"h-full w-full border-radius-3xl bg-token-bg-elevated-secondary corner-superellipse\/1.1 overflow-clip rounded-3xl lxnfua_clipPathFallback\">\n<div class=\"pointer-events-none absolute inset-x-4 top-12 bottom-4\">\n<div class=\"pointer-events-none sticky z-40 shrink-0 z-1!\">\n<div class=\"sticky bg-token-border-light\"><\/div>\n<\/div>\n<\/div>\n<div class=\"w-full overflow-x-hidden overflow-y-auto\">\n<div class=\"relative z-0 flex max-w-full\">\n<div id=\"code-block-viewer\" class=\"q9tKkq_viewer cm-editor z-10 light:cm-light dark:cm-light flex h-full w-full flex-col items-stretch \u037c5 \u037cj\" dir=\"ltr\">\n<div class=\"cm-scroller\">\n<div class=\"cm-content q9tKkq_readonly\">pip install openai pinecone-client python-dotenv langgraph pypdf<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"\">\n<div class=\"\"><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<hr data-start=\"2827\" data-end=\"2830\" \/>\n<h2 data-section-id=\"1nz71f7\" data-start=\"2832\" data-end=\"2864\">Step 4 \u2013 Set Up Environment Variables<\/h2>\n<p data-start=\"2866\" data-end=\"2880\">Create <code class=\"\" data-line=\"\">.env<\/code>:<\/p>\n<div class=\"relative w-full mt-4 mb-1\">\n<div class=\"\">\n<div class=\"relative\">\n<div class=\"h-full min-h-0 min-w-0\">\n<div class=\"h-full min-h-0 min-w-0\">\n<div class=\"border border-token-border-light border-radius-3xl corner-superellipse\/1.1 rounded-3xl\">\n<div class=\"h-full w-full border-radius-3xl bg-token-bg-elevated-secondary corner-superellipse\/1.1 overflow-clip rounded-3xl lxnfua_clipPathFallback\">\n<div class=\"pointer-events-none absolute inset-x-4 top-12 bottom-4\">\n<div class=\"pointer-events-none sticky z-40 shrink-0 z-1!\">\n<div class=\"sticky bg-token-border-light\">APIs can be obtained by going to OpenAI and Pinecone, opening an account, and creating the APIs.<\/div>\n<div><\/div>\n<\/div>\n<\/div>\n<div class=\"w-full overflow-x-hidden overflow-y-auto\">\n<div class=\"relative z-0 flex max-w-full\">\n<div id=\"code-block-viewer\" class=\"q9tKkq_viewer cm-editor z-10 light:cm-light dark:cm-light flex h-full w-full flex-col items-stretch \u037c5 \u037cj\" dir=\"ltr\">\n<div class=\"cm-scroller\">\n<div class=\"cm-content q9tKkq_readonly\">OPENAI_API_KEY=your_key<br \/>\nPINECONE_API_KEY=your_key<br \/>\nPINECONE_INDEX_NAME=rag-index<br \/>\nPINECONE_ENV=us-east-1<\/div>\n<\/div>\n<div>\n<div class=\"relative w-full mt-4 mb-1\">\n<div class=\"\">\n<div class=\"relative\">\n<div class=\"\">\n<div class=\"\"><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<hr data-start=\"2827\" data-end=\"2830\" \/>\n<h2 data-section-id=\"1nz71f7\" data-start=\"2832\" data-end=\"2864\">Step 5 \u2013 Add PDFs to Pinecone Recursively<\/h2>\n<p data-start=\"2866\" data-end=\"2880\"><strong>File:<\/strong> ingest_docs.py<\/p>\n<p data-start=\"391\" data-end=\"407\">This file:<\/p>\n<ul data-start=\"408\" data-end=\"595\">\n<li data-section-id=\"1uh6fl7\" data-start=\"408\" data-end=\"452\">Reads your files from the <code class=\"\" data-line=\"\">data\/<\/code> folder<\/li>\n<li data-section-id=\"1ty0i8c\" data-start=\"453\" data-end=\"488\">Breaks them into smaller chunks<\/li>\n<li data-section-id=\"evjxlf\" data-start=\"489\" data-end=\"538\">Converts each chunk into embeddings (vectors)<\/li>\n<li data-section-id=\"jlgj3e\" data-start=\"539\" data-end=\"595\">Stores them in <span class=\"hover:entity-accent entity-underline inline cursor-pointer align-baseline\"><span class=\"whitespace-normal\">Pinecone<\/span><\/span><\/li>\n<\/ul>\n<p data-start=\"597\" data-end=\"661\">Think of this as:<br data-start=\"614\" data-end=\"617\" \/><strong data-start=\"617\" data-end=\"661\">\u201cLoad my knowledge into the AI\u2019s memory.\u201d<\/strong><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"\"><pre id=\"code-snippet-source-14\" class=\"code-snippet-source linkable-line-numbers\"><code class=\"language-php line-numbers\">&lt;?php\n\n# ============================================\n# INGEST SCRIPT (LOAD DATA INTO PINECONE)\n# ============================================\n\nimport os\nimport uuid\nfrom dotenv import load_dotenv\nfrom openai import OpenAI\nfrom pinecone import Pinecone\nfrom pypdf import PdfReader\n\n# Load API keys from .env file\nload_dotenv()\n\n# Create OpenAI client (used for embeddings)\nclient = OpenAI(api_key=os.getenv(&quot;OPENAI_API_KEY&quot;))\n\n# Connect to Pinecone\npc = Pinecone(api_key=os.getenv(&quot;PINECONE_API_KEY&quot;))\nindex = pc.Index(os.getenv(&quot;PINECONE_INDEX_NAME&quot;))\n\n# Folder where your documents live\nDATA_FOLDER = &quot;..\/data&quot;\n\n# ---------------------------\n# READ TEXT FILE\n# ---------------------------\ndef load_txt(path):\n    # Open and read text file\n    with open(path, &quot;r&quot;, encoding=&quot;utf-8&quot;) as f:\n        return f.read()\n\n# ---------------------------\n# READ PDF FILE\n# ---------------------------\ndef load_pdf(path):\n    reader = PdfReader(path)\n    text = &quot;&quot;\n\n    # Loop through each page\n    for page in reader.pages:\n        page_text = page.extract_text()\n        if page_text:\n            text += page_text + &quot;\\n&quot;\n\n    return text\n\n# ---------------------------\n# SPLIT TEXT INTO CHUNKS\n# ---------------------------\ndef chunk_text(text, chunk_size=500, overlap=100):\n    chunks = []\n    start = 0\n\n    # Break text into overlapping chunks\n    while start &lt; len(text):\n        chunk = text[start:start + chunk_size].strip()\n        if chunk:\n            chunks.append(chunk)\n\n        # Move forward but keep some overlap\n        start += chunk_size - overlap\n\n    return chunks\n\n# ---------------------------\n# CREATE EMBEDDINGS (BATCH)\n# ---------------------------\ndef embed_batch(texts):\n    # Convert text into vectors\n    res = client.embeddings.create(\n        model=&quot;text-embedding-3-small&quot;,\n        input=texts\n    )\n\n    # Return list of embeddings\n    return [d.embedding for d in res.data]\n\n# ---------------------------\n# PROCESS ONE FILE\n# ---------------------------\ndef process_file(file_path):\n    print(f&quot;\\nProcessing: {file_path}&quot;)\n\n    # Decide how to load file\n    if file_path.endswith(&quot;.txt&quot;):\n        text = load_txt(file_path)\n    elif file_path.endswith(&quot;.pdf&quot;):\n        text = load_pdf(file_path)\n    else:\n        print(&quot;Skipping unsupported file&quot;)\n        return\n\n    # Skip empty files\n    if not text.strip():\n        print(&quot;Empty file&quot;)\n        return\n\n    # Break text into chunks\n    chunks = chunk_text(text)\n    print(f&quot;{len(chunks)} chunks created&quot;)\n\n    # Convert chunks into embeddings\n    embeddings = embed_batch(chunks)\n\n    vectors = []\n\n    # Prepare data for Pinecone\n    for i, chunk in enumerate(chunks):\n        vectors.append({\n            &quot;id&quot;: str(uuid.uuid4()),  # unique ID\n            &quot;values&quot;: embeddings[i],  # vector\n            &quot;metadata&quot;: {\n                &quot;text&quot;: chunk,        # original text\n                &quot;source&quot;: os.path.basename(file_path)\n            }\n        })\n\n    # Upload to Pinecone\n    index.upsert(vectors)\n\n    print(f&quot;Inserted {len(vectors)} chunks&quot;)\n\n# ---------------------------\n# PROCESS ALL FILES\n# ---------------------------\ndef ingest_all():\n    # Loop through every file in \/data\n    for filename in os.listdir(DATA_FOLDER):\n        process_file(os.path.join(DATA_FOLDER, filename))\n\n# ---------------------------\n# RUN SCRIPT\n# ---------------------------\nif __name__ == &quot;__main__&quot;:\n    ingest_all()<\/code><\/pre><\/div>\n<\/div>\n<div>\n<div class=\"relative w-full mt-4 mb-1\">\n<div class=\"\">\n<div class=\"relative\">\n<div class=\"\">\n<div class=\"\"><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<hr data-start=\"2827\" data-end=\"2830\" \/>\n<h2 data-section-id=\"1nz71f7\" data-start=\"2832\" data-end=\"2864\">Step 6 \u2013 Create Code to Connect LLM, Database, and User Input Using LangGraph<\/h2>\n<p data-start=\"2866\" data-end=\"2880\"><strong>File:<\/strong> lgdemo.py<\/p>\n<p data-start=\"708\" data-end=\"724\">\ud83d\udc49 This command:<\/p>\n<ul data-start=\"725\" data-end=\"900\">\n<li data-section-id=\"1p5k1zl\" data-start=\"725\" data-end=\"758\">Prompts you to ask a question<\/li>\n<li data-section-id=\"1yu8uvj\" data-start=\"759\" data-end=\"803\">Converts your question into an embedding<\/li>\n<li data-section-id=\"7q5u9p\" data-start=\"804\" data-end=\"843\">Searches Pinecone for relevant data<\/li>\n<li data-section-id=\"r75cms\" data-start=\"844\" data-end=\"873\">Sends that data to the AI<\/li>\n<li data-section-id=\"2ss9nk\" data-start=\"874\" data-end=\"900\">Returns a final answer<\/li>\n<\/ul>\n<p data-start=\"902\" data-end=\"955\">Think of this as:<br data-start=\"919\" data-end=\"922\" \/><strong data-start=\"922\" data-end=\"955\">\u201cAsk questions using my data\u201d<\/strong><\/p>\n<p data-start=\"2866\" data-end=\"2880\"><pre id=\"code-snippet-source-15\" class=\"code-snippet-source linkable-line-numbers\"><code class=\"language-php line-numbers\">&lt;?php\n\n# ============================================\n# MAIN RAG PIPELINE (ASK QUESTIONS)\n# ============================================\n\nimport os\nimport logging\nfrom typing import TypedDict, List\nfrom dotenv import load_dotenv\nfrom openai import OpenAI\nfrom pinecone import Pinecone, ServerlessSpec\nfrom langgraph.graph import StateGraph, END\n\n# Load API keys\nload_dotenv()\n\n# Enable logging\nlogging.basicConfig(level=logging.INFO)\n\n# ---------------------------\n# DEFINE DATA STRUCTURE\n# ---------------------------\nclass GraphState(TypedDict):\n    query: str        # user question\n    embedding: List[float]  # vector form of question\n    results: list     # search results\n    answer: str       # final AI answer\n\n# ---------------------------\n# EMBEDDING SERVICE\n# ---------------------------\nclass EmbeddingService:\n    def __init__(self, client):\n        self.client = client\n\n    def embed(self, text):\n        # Convert text into vector\n        res = self.client.embeddings.create(\n            model=&quot;text-embedding-3-small&quot;,\n            input=text\n        )\n        return res.data[0].embedding\n\n# ---------------------------\n# PINECONE SERVICE\n# ---------------------------\nclass PineconeService:\n    def __init__(self):\n        self.pc = Pinecone(api_key=os.getenv(&quot;PINECONE_API_KEY&quot;))\n        self.index_name = os.getenv(&quot;PINECONE_INDEX_NAME&quot;)\n\n        # Check if index exists\n        existing = [i.name for i in self.pc.list_indexes()]\n\n        if self.index_name not in existing:\n            logging.info(&quot;Creating Pinecone index...&quot;)\n\n            self.pc.create_index(\n                name=self.index_name,\n                dimension=1536,\n                metric=&quot;cosine&quot;,\n                spec=ServerlessSpec(\n                    cloud=&quot;aws&quot;,\n                    region=os.getenv(&quot;PINECONE_ENV&quot;)\n                )\n            )\n\n        # Connect to index\n        self.index = self.pc.Index(self.index_name)\n\n    def query(self, vector):\n        # Search Pinecone using vector\n        return self.index.query(\n            vector=vector,\n            top_k=3,\n            include_metadata=True\n        ).matches\n\n# ---------------------------\n# LLM SERVICE\n# ---------------------------\nclass LLMService:\n    def __init__(self):\n        self.client = OpenAI(api_key=os.getenv(&quot;OPENAI_API_KEY&quot;))\n\n    def generate(self, query, context):\n        # Build prompt with context\n        prompt = f&quot;&quot;&quot;\nUse the context below to answer the question.\n\nContext:\n{context}\n\nQuestion:\n{query}\n&quot;&quot;&quot;\n\n        # Ask AI for answer\n        res = self.client.chat.completions.create(\n            model=&quot;gpt-4o-mini&quot;,\n            messages=[{&quot;role&quot;: &quot;user&quot;, &quot;content&quot;: prompt}]\n        )\n\n        return res.choices[0].message.content\n\n# ---------------------------\n# LANGGRAPH PIPELINE\n# ---------------------------\nclass LangGraphService:\n    def __init__(self):\n        client = OpenAI(api_key=os.getenv(&quot;OPENAI_API_KEY&quot;))\n\n        # Initialize services\n        self.embedder = EmbeddingService(client)\n        self.vector = PineconeService()\n        self.llm = LLMService()\n\n        # Create graph\n        self.graph = StateGraph(GraphState)\n        self._build()\n\n        # Compile graph\n        self.app = self.graph.compile()\n\n    # Step 1: get question from user\n    def get_query(self, state):\n        return {&quot;query&quot;: input(&quot;Enter your question: &quot;)}\n\n    # Step 2: convert question to vector\n    def embed_query(self, state):\n        return {&quot;embedding&quot;: self.embedder.embed(state[&quot;query&quot;])}\n\n    # Step 3: search Pinecone\n    def vector_search(self, state):\n        return {&quot;results&quot;: self.vector.query(state[&quot;embedding&quot;])}\n\n    # Step 4: generate answer\n    def generate_answer(self, state):\n        # Combine retrieved text\n        context = &quot;\\n&quot;.join([r.metadata[&quot;text&quot;] for r in state[&quot;results&quot;]])\n\n        # Ask AI\n        answer = self.llm.generate(state[&quot;query&quot;], context)\n\n        return {&quot;answer&quot;: answer}\n\n    # Build pipeline flow\n    def _build(self):\n        self.graph.add_node(&quot;query&quot;, self.get_query)\n        self.graph.add_node(&quot;embed&quot;, self.embed_query)\n        self.graph.add_node(&quot;search&quot;, self.vector_search)\n        self.graph.add_node(&quot;answer&quot;, self.generate_answer)\n\n        # Define flow order\n        self.graph.set_entry_point(&quot;query&quot;)\n        self.graph.add_edge(&quot;query&quot;, &quot;embed&quot;)\n        self.graph.add_edge(&quot;embed&quot;, &quot;search&quot;)\n        self.graph.add_edge(&quot;search&quot;, &quot;answer&quot;)\n        self.graph.add_edge(&quot;answer&quot;, END)\n\n    # Run the app\n    def run(self):\n        result = self.app.invoke({})\n\n        print(&quot;\\nAnswer:\\n&quot;)\n        print(result[&quot;answer&quot;])\n\n# ---------------------------\n# START PROGRAM\n# ---------------------------\nif __name__ == &quot;__main__&quot;:\n    service = LangGraphService()\n    service.run()<\/code><\/pre><\/p>\n<\/div>\n<div class=\"relative w-full mt-4 mb-1\">\n<div class=\"\">\n<div class=\"relative\">\n<div class=\"\">\n<div class=\"\"><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<hr data-start=\"2827\" data-end=\"2830\" \/>\n<h2 data-section-id=\"1nz71f7\" data-start=\"2832\" data-end=\"2864\">Step 7 \u2013 Run Your RAG System with Pinecone and LangGraph<\/h2>\n<div class=\"relative w-full mt-4 mb-1\">\n<div class=\"\">\n<div class=\"relative\">\n<div class=\"h-full min-h-0 min-w-0\">\n<div class=\"h-full min-h-0 min-w-0\">\n<div class=\"border border-token-border-light border-radius-3xl corner-superellipse\/1.1 rounded-3xl\">\n<div class=\"h-full w-full border-radius-3xl bg-token-bg-elevated-secondary corner-superellipse\/1.1 overflow-clip rounded-3xl lxnfua_clipPathFallback\">\n<div class=\"pointer-events-none absolute inset-x-4 top-12 bottom-4\">\n<div class=\"pointer-events-none sticky z-40 shrink-0 z-1!\">\n<div class=\"sticky bg-token-border-light\"><\/div>\n<\/div>\n<\/div>\n<div class=\"w-full overflow-x-hidden overflow-y-auto\">\n<div class=\"relative z-0 flex max-w-full\">\n<div id=\"code-block-viewer\" class=\"q9tKkq_viewer cm-editor z-10 light:cm-light dark:cm-light flex h-full w-full flex-col items-stretch \u037c5 \u037cj\" dir=\"ltr\">\n<div class=\"cm-scroller\">\n<div class=\"cm-content q9tKkq_readonly\">python ingest_docs.py<br \/>\npython lgdemo.py<\/div>\n<\/div>\n<div>Confirm that the question you type into the prompt is relevant to the PDF document you uploaded, so it returns the answer from the PDF and not the internet.<\/div>\n<div><\/div>\n<p><!-- Next Learning Path Section --><\/p>\n<div style=\"max-width: 800px; padding: 20px; border: 1px solid #ddd; border-radius: 10px; box-shadow: 0 4px 8px rgba(0,0,0,0.05); background-color: #fff;\">\n<h2 style=\"font-size: 1.5rem; font-weight: 600; margin-bottom: 12px;margin-top: 0 !important;font-size:14px;\"><a style=\" color: rgb(0, 110, 117) !important;\" href=\"build-a-fastapi-layer-for-your-rag-system-langgraph-pinecone-api-guide\">Next: Build a FastAPI + React Frontend for Your RAG System<\/a><\/h2>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"\">\n<div class=\"\"><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Build a RAG System with Pinecone and LangGraph Introduction If you want your AI app to answer questions using your own data, building a **RAG [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":1453,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[18,9,34,28,27,33],"tags":[36,22,37,24,35],"class_list":["post-1451","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-agentic-ai","category-ai","category-langgraph","category-llm","category-python","category-rag","tag-agentic-workflow","tag-ai","tag-langgraph","tag-python","tag-rag"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>RAG System with Pinecone and LangGraph: Step-by-Step Guide<\/title>\n<meta name=\"description\" content=\"Learn how to build a RAG system with Pinecone and LangGraph using OpenAI embeddings. 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