--- title: Build and deploy a RAG app with Pinecone Serverless description: A walkthrough of building and deploying a production-ready RAG application using Pinecone Serverless, LangChain, LangServe, and LangSmith. Pinecone Serverless... canonical: https://daily.dev/posts/build-and-deploy-a-rag-app-with-pinecone-serverless-xco4ldgks twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Build and deploy a RAG app with Pinecone Serverless | daily.dev og:description: A walkthrough of building and deploying a production-ready RAG application using Pinecone Serverless, LangChain, LangServe, and LangSmith. Pinecone Serverless... og:url: https://daily.dev/posts/build-and-deploy-a-rag-app-with-pinecone-serverless-xco4ldgks og:image: https://api.daily.dev/og/posts/XcO4lDGKs.png og:image:alt: Build and deploy a RAG app with Pinecone Serverless og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Build and deploy a RAG app with Pinecone Serverless **[LangChain](https://daily.dev/sources/langchain)** · 4 min read · 0 upvotes · 0 comments ## Summary A walkthrough of building and deploying a production-ready RAG application using Pinecone Serverless, LangChain, LangServe, and LangSmith. Pinecone Serverless addresses two common pain points: the need to manually provision indexes and fixed monthly pricing, replacing them with usage-based pricing and unlimited scalability via cloud object storage. The stack combines LCEL for chain composition, LangServe for deploying chains as HTTP web services, and LangSmith for observability. A template repo is provided showing Cohere embeddings for similarity search and GPT-4 for answer synthesis. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [CodeLab: Building a RAG Application With Couchbase Capella Model Services and LangChain](https://daily.dev/posts/codelab-building-a-rag-application-with-couchbase-capella-model-services-and-langchain-u14vix8ez) · Couchbase · 1 upvotes · 0 comments - [Production RAG with LangChain & Vector Databases](https://daily.dev/posts/production-rag-with-langchain-vector-databases-ibfewmq9t) · freeCodeCamp · 4 upvotes · 0 comments - [How to Build a RAG App for Beginners Using LangChain](https://daily.dev/posts/how-to-build-a-rag-app-for-beginners-using-langchain-7f7rdczmg) · Atomic Spin · 2 upvotes · 0 comments - [Building Agentic RAG with LangGraph and OpenSearch](https://daily.dev/posts/building-agentic-rag-with-langgraph-and-opensearch-9inxh7ahs) · BigData Boutique blog · 4 upvotes · 0 comments - [Building a Multi-Provider RAG Chatbot: LangChain, Python FastAPI, Hugging Face, Convex, Docker, Terraform & GCP](https://daily.dev/posts/building-a-multi-provider-rag-chatbot-langchain-python-fastapi-hugging-face-convex-docker-terr-fc0fnqfbx) · ITNEXT · 4 upvotes · 1 comments --- Tags: [#rag](https://daily.dev/tags/rag), [#vector-search](https://daily.dev/tags/vector-search), [#langchain](https://daily.dev/tags/langchain), [#pinecone](https://daily.dev/tags/pinecone) [View this post on daily.dev](https://daily.dev/posts/build-and-deploy-a-rag-app-with-pinecone-serverless-xco4ldgks) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"Build and deploy a RAG app with Pinecone Serverless","url":"https://daily.dev/posts/build-and-deploy-a-rag-app-with-pinecone-serverless-xco4ldgks","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/build-and-deploy-a-rag-app-with-pinecone-serverless-xco4ldgks"},"datePublished":"2026-07-08T19:23:01.342Z","dateModified":"2026-07-08T19:24:06.570Z","description":"A walkthrough of building and deploying a production-ready RAG application using Pinecone Serverless, LangChain, LangServe, and LangSmith. 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