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LangChain and Pinecone for RAG Apps: Build Retrieval-Augmented Generation Systems with Vector Databases, LangChain Workflows, and OpenAI Models

by Deese Hopkins
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Current price ₹2,964.00
Original price ₹3,421.00
Original price ₹3,421.00
Original price ₹3,421.00
(-13%)
₹2,964.00
Current price ₹2,964.00

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Book cover type: Paperback
  • ISBN13: 9798296642523
  • Binding: Paperback
  • Subject: N/A
  • Publisher: Independently Published
  • Publisher Imprint: Independently Published
  • Publication Date:
  • Pages: 206
  • Original Price: GBP 26.31
  • Language: English
  • Edition: N/A
  • Item Weight: 368 grams
  • BISAC Subject(s): Data Science / Data Analytics

Build AI systems that retrieve real knowledge-not just guess.

Tired of hallucinating chatbots that can't stay grounded in facts? This hands-on guide teaches you how to build production-grade Retrieval-Augmented Generation (RAG) applications 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 accurately retrieve and reason over your own data-fast, modular, and reliably.

From 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-no black boxes, no guesswork.

What You'll Learn:

  • Build your first RAG pipeline in Python with LangChain and Pinecone

  • Structure and index documents using embeddings and metadata

  • Deploy real-world apps: legal Q&A bots, SaaS search, internal copilots

  • Reduce token usage, monitor performance, and debug live queries

  • Integrate open-weight models like LLaMA 3 and Mistral

  • Master advanced techniques like RAG-Fusion, HyDE, and query rewriting

  • Compare and choose vector DBs: Pinecone, Chroma, FAISS, Weaviate

  • Make smart decisions about tools, agents, memory, and reliability

This isn't another buzzword-filled AI book. It's your practical blueprint for building retrieval-first, scalable, and transparent AI systems.

Who This Book Is For:
Developers, backend engineers, founders, data scientists, and technical PMs who want to move beyond playground prompts and build real RAG systems-accurately, securely, and at scale.

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