Overview

Unlock the full potential of AI-driven backend development with LangChain-Powered AI Backends: Building Scalable Systems with FastAPI, Agents, and Vector Databases. Authored by Isla Vireo, this definitive guide empowers backend developers to design, implement, and deploy production-grade AI systems that integrate large language models (LLMs) with robust, scalable architectures. Focusing on real-world applications, this book dives deep into LangChain, FastAPI, vector databases, and agent-based frameworks to create intelligent, context-aware, and modular AI backends. Learn to build high-performance APIs with FastAPI, harness LangChain's agent framework for reasoning and tool execution, and leverage vector databases like Chroma, Weaviate, and Qdrant for retrieval-augmented generation (RAG) and contextual memory. From memory-managed workflows to microservices and LangGraph integration, this book provides step-by-step guidance to architect systems that scale seamlessly in production environments. Whether you're developing AI copilots, knowledge bases, or custom LLM APIs, this book equips you with the tools, patterns, and strategies to deliver faster, smarter, and more reliable AI solutions. Key topics include: Architecting scalable FastAPI backends for LLMs Building and deploying LangChain agents with tool routing Implementing RAG pipelines with vector stores and embeddings Managing long-term context and memory in AI workflows Designing modular, extensible systems with microservices and LangGraph Perfect for backend developers seeking to master AI system design, this book is your blueprint for creating production-ready, intelligent backends that power the next generation of AI applications.

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