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The Complete LangChain & LLMs Guide
By :
The Complete LangChain & LLMs Guide
By:
Overview of this book
This comprehensive masterclass takes you on a transformative journey into the realm of LangChain and Large Language Models, equipping you with the skills to build autonomous AI tools.
Starting with the basics, you'll set up your development environment, including OpenAI API and Python, and progress to advanced topics like LangChain's architecture, prompt templates, and parsers. The course meticulously guides you through creating complex chains, memory models, and agents, culminating in the development of practical applications such as PDF extractors, newsletter generators, and multi-document chatbots. With hands-on tutorials, you'll learn to leverage LangChain for tasks ranging from document loading and splitting to embedding vector stores for semantic similarity searches.
By the end, you'll have the knowledge to implement AI in creative and impactful ways, from image-to-text conversion to building interactive chatbots and more, all while navigating the ethical considerations of AI deployment.
Table of Contents (14 chapters)
Introduction
Development Environment Setup
LangChain and LLMs - Deep Dive
LangChain Prompts Template
LangChain Parsers
LangChain Memory and Chains
LangChain Routers, Document Loading and Document Splitting
LangChain Embeddings and Vectorstores
LangChain Agents - Deep Dive
[REAL-WORLD] App - PDF Extractor
[REAL-WORLD] App - Newsletter Generator
[REAL-WORLD] App - Multi-document Chatbot
[REAL-WORLD] App - Image to Text
Next Steps
Customer Reviews