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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
Paperback
Series: Langflow Mastery, Book 3
Publisher: Independently Published
Published: Jul 14 2025
Pages: 448
Weight: 1.70
Height: 0.91 Width: 7.00 Depth: 10.00
Language: English
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.
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