{"product_id":"langchain-and-pinecone-for-rag-apps-build-retrieval-augmented-generation-systems-with-vector-databases-langchain-workflows-and-openai-models-9798296642523","title":"LangChain and Pinecone for RAG Apps: Build Retrieval-Augmented Generation Systems with Vector Databases, LangChain Workflows, and OpenAI Models","description":"\u003cp\u003e • Author(s): Deese Hopkins\u003cbr\u003e • Publisher: Independently Published\u003cbr\u003e • Publisher Imprint: Independently Published\u003cbr\u003e • BISAC: Databases - Data Mining\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eBuild AI systems that retrieve real knowledge-not just guess.\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eTired of hallucinating chatbots that can't stay grounded in facts? This hands-on guide teaches you how to build \u003cb\u003eproduction-grade Retrieval-Augmented Generation (RAG) applications\u003c\/b\u003e using Python, LangChain, Pinecone, and OpenAI. Whether you're a developer, founder, data engineer, or AI enthusiast, you'll learn how to build scalable LLM apps that \u003cb\u003eaccurately retrieve and reason over your own data\u003c\/b\u003e-fast, modular, and reliably.\u003c\/p\u003e\u003cp\u003eFrom indexing PDFs to deploying full-stack document assistants, you'll follow real-world examples that go beyond prompting. You'll learn how to chain prompts, inject context, query vector databases, fine-tune retrieval logic, and confidently launch intelligent apps that work on your terms-\u003cb\u003eno black boxes, no guesswork\u003c\/b\u003e.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eWhat You'll Learn: \u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\u003cp\u003eBuild your first RAG pipeline in Python with LangChain and Pinecone\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eStructure and index documents using embeddings and metadata\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eDeploy real-world apps: legal Q\u0026amp;A bots, SaaS search, internal copilots\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eReduce token usage, monitor performance, and debug live queries\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eIntegrate open-weight models like LLaMA 3 and Mistral\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eMaster advanced techniques like RAG-Fusion, HyDE, and query rewriting\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eCompare and choose vector DBs: Pinecone, Chroma, FAISS, Weaviate\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eMake smart decisions about tools, agents, memory, and reliability\u003c\/p\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eThis isn't another buzzword-filled AI book. It's your \u003cb\u003epractical blueprint\u003c\/b\u003e for building \u003cb\u003eretrieval-first, scalable, and transparent AI systems\u003c\/b\u003e.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eWho This Book Is For: \u003c\/b\u003e\u003cbr\u003eDevelopers, backend engineers, founders, data scientists, and technical PMs who want to move beyond playground prompts and build \u003cb\u003ereal RAG systems\u003c\/b\u003e-accurately, securely, and at scale.\u003c\/p\u003e","brand":"Atlantic Books","offers":[{"title":"Paperback","offer_id":46333924376727,"sku":"9798296642523","price":2964.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798296642523.webp?v=1768670891","url":"https:\/\/atlanticbooks.com\/products\/langchain-and-pinecone-for-rag-apps-build-retrieval-augmented-generation-systems-with-vector-databases-langchain-workflows-and-openai-models-9798296642523","provider":"Atlantic Books","version":"1.0","type":"link"}