Name: LangFlow in Action: Building Agentic Workflows & Retrieval-Augmented Generation (RAG) Applications: Visual Workflow Engineering, LangChain Patterns, R (en Inglés)
SKU: 66015177
Price: 33.84 USD
Availability: InStock
Author: Zhu, Yuan
ISBN: 9798262588930

portada LangFlow in Action: Building Agentic Workflows & Retrieval-Augmented Generation (RAG) Applications: Visual Workflow Engineering, LangChain Patterns, R (en Inglés)

LangFlow in Action: Building Agentic Workflows & Retrieval-Augmented Generation (RAG) Applications: Visual Workflow Engineering, LangChain Patterns, R (en Inglés)

Formato

Libro Físico

Editorial

Independently Published

Autor

Zhu, Yuan

Idioma

Inglés

N° páginas

168

Encuadernación

Tapa Blanda

Dimensiones

25.4x17.8x0.9 cm

ISBN13

9798262588930

LangFlow in Action: Building Agentic Workflows & Retrieval-Augmented Generation (RAG) Applications: Visual Workflow Engineering, LangChain Patterns, R (en Inglés)

Zhu, Yuan (Autor) · Independently Published · Tapa Blanda

Libro Nuevo Importado

Envío: 18 a 25 días háb.

$ 61.52$ 33.84

-45%

Costos de importación incluídos en el precio ✅

Libro Nuevo

Quedan 100 unidades

$ 33.84

Llega entre el 04 Nov y el 17 Nov a Quito, Pichincha. Seleccionar ubicación

Agregar a lista de deseos

Reseña del libro "LangFlow in Action: Building Agentic Workflows & Retrieval-Augmented Generation (RAG) Applications: Visual Workflow Engineering, LangChain Patterns, R (en Inglés)"

LangFlow in Action teaches engineers and product teams how to design, prototype, and deploy visual, agentic AI workflows using LangFlow and LangChain patterns. The book walks through building modular workflow blocks, connectors to vector stores and external APIs, chaining LLM calls, and composing agent behaviors for decisioning and automation. Learn to implement robust RAG systems indexing, embedding pipelines, chunking, vector DB choice (FAISS, Milvus, Pinecone), retrieval strategies, and prompt templates that maximize factuality and relevance. Advanced chapters show how to build multimodal pipelines (text + images + APIs), agent orchestration, debugging and observability for workflows, and deployment strategies (serverless, containerized, hybrid). Each chapter includes LangFlow flow examples, LangChain recipes, prompt engineering best practices, and production deployment guides.Key topics: LangFlow visual design, LangChain integration patterns, RAG indexing & retrieval, vector stores, prompt engineering, agentic controllers, connectors & tool use, multimodal workflows, testing & debugging, deployment & scaling.