{"product_id":"b0fh35dynj","title":"Vector Databases for Generative AI: Build RAG Apps in 48 Hours (Data Engineering \u0026 Governance Series)","description":"\u003cp\u003eVector Databases for Generative AI: Build RAG Apps in 48 Hours Super-charge your Large Language Model projects with the missing layer every Gen AI system needs— vector databases . In just two days of hands-on labs, you’ll master Pinecone, Milvus, pgvector, LangChain and more, and deploy a production-ready Retrieval-Augmented Generation (RAG) chatbot that  actually  cites your data.\u003c\/p\u003e\n\n\u003cp\u003eWhat you’ll learn The essential theory—embeddings, cosine similarity, ANN indexes (HNSW, IVF) and hybrid search. Cloud vs. self-hosted workflows: Pinecone’s serverless ease, Milvus performance tuning, PostgreSQL + pgvector simplicity. Step-by-step RAG pipeline with LangChain \u0026amp; OpenAI—index, retrieve, generate, cite. Enterprise chatbots on Azure AI Search \u0026amp; Amazon Kendra with zero-infrastructure ingestion pipelines. Cost-saving playbook: hot\/cold tiers, lakehouse integration and scaling tricks that cut bills by 60%. 10 real lab exercises and 4 industry case studies (e-commerce, legal, support, IoT) to cement skills. Whether you’re a data engineer, software architect or curious builder, this concise, senior-level guide gives you everything needed to unlock semantic search and grounded AI  now —no prior vector experience required.\u003c\/p\u003e\n\n\u003cp\u003eStop hallucinations, start answering with facts.  Build your first RAG app this weekend—and stay ahead in the AI race.\u003c\/p\u003e","brand":"ANT","offers":[{"title":"Ebook","offer_id":52836655759576,"sku":"YSL62205","price":5.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0835\/3356\/2072\/files\/61SXzNy6SKL._SY1500.jpg?v=1793272227","url":"https:\/\/www.bookmebay.com\/products\/b0fh35dynj","provider":"BookMebay","version":"1.0","type":"link"}