Mastering Production with Langflow, LangChain, OpenAI, and Vector Databases: Deploy AI apps with Langflow's API, MCP servers, LangChain flows, OpenAI models, and vector DBs-optimized with Docker

Author:   Cal Rowe
Publisher:   Independently Published
Volume:   3
ISBN:  

9798292464815


Pages:   448
Publication Date:   14 July 2025
Format:   Paperback
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

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Mastering Production with Langflow, LangChain, OpenAI, and Vector Databases: Deploy AI apps with Langflow's API, MCP servers, LangChain flows, OpenAI models, and vector DBs-optimized with Docker


Overview

Turn your prototypes into production-grade AI applications-built for scale, security, and success. Whether you're an AI engineer, software developer, or technical product lead, Mastering Production with Langflow, LangChain, OpenAI, and Vector Databases is your hands-on guide to deploying intelligent agents and Retrieval-Augmented Generation (RAG) systems in real-world environments. This advanced third volume builds on the foundations of visual development in Langflow and the modular power of LangChain to help you launch, scale, and maintain enterprise-ready AI workflows across cloud platforms. You'll learn how to deploy robust agents using Langflow's API and Multi-Cloud Platform (MCP) servers, integrate with LangChain flows and OpenAI models, and manage vector databases like Pinecone and Weaviate-all while containerizing and orchestrating your applications using Docker and Kubernetes. Inside You'll Learn How To: Deploy AI agents as APIs using Langflow's MCP servers Orchestrate complex LangChain workflows for production Integrate OpenAI models securely and optimize usage costs Scale vector databases for high-throughput RAG Containerize workflows using Docker and deploy via AWS, Azure, and GCP Implement monitoring, logging, and real-time observability with LangSmith and Prometheus Meet enterprise-grade security and compliance standards like GDPR and CCPA What's New in This Book: Langflow's production API and multi-node MCP server setup Advanced deployment strategies with CI/CD, Kubernetes, and Docker Case studies deploying financial analysis and content generation agents at scale Hands-on code: FastAPI, LangChain, Dockerfiles, Kubernetes configs, and more Deep dives into hybrid RAG search, token usage optimization, and security architecture Perfect For: Developers and engineers scaling AI systems into production AI/ML professionals building RAG agents with vector search Technical product managers overseeing AI delivery pipelines Educators and researchers teaching deployment-ready workflows Contributors to Langflow's growing open-source community Includes Bonus Content: Downloadable Langflow JSON flows and container-ready code samples Visual architecture diagrams for real-world deployment scenarios CI/CD configs, security checklists, and Docker Compose templates Exclusive links to Langflow's GitHub projects and Discord community You've built intelligent agents. Now it's time to launch them. With Mastering Production with Langflow, you'll gain the production-readiness, confidence, and expertise to deliver AI systems that scale, comply, and thrive in the real world.

Full Product Details

Author:   Cal Rowe
Publisher:   Independently Published
Imprint:   Independently Published
Volume:   3
Dimensions:   Width: 17.80cm , Height: 2.30cm , Length: 25.40cm
Weight:   0.771kg
ISBN:  

9798292464815


Pages:   448
Publication Date:   14 July 2025
Audience:   General/trade ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

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