Implement advanced LangChain features including persistent memory, intelligent agents, and custom tools. Learn to build multi-agent systems for complex AI workflows.
Category: LangChain
Build Your First LangChain Application – Part 6: Creating Retrieval-Augmented Generation (RAG) Chains
Implement Retrieval-Augmented Generation (RAG) to create an AI system that answers questions based on your specific documents. Learn multi-query RAG and conversational capabilities.
Build Your First LangChain Application – Part 5: Building Vector Stores and Semantic Search
Learn how to build vector stores using FAISS and implement semantic search with Azure OpenAI embeddings. Enable powerful document search based on meaning, not just keywords.
Build Your First LangChain Application – Part 4: Document Loading and Text Processing
Learn how to load and process documents using LangChain. This guide covers PDF processing, text splitting strategies, and building document upload endpoints.
Build Your First LangChain Application – Part 3: Understanding Core Concepts and Components
Master LangChain’s core concepts including Language Models, Prompt Templates, Chains, and Memory. Learn how to combine these components to create powerful AI workflows.
Build Your First LangChain Application – Part 2: Setting Up Azure OpenAI and Your First Connection
Learn how to create an Azure OpenAI resource and establish your first LangChain connection. This guide covers Azure setup, model deployment, and testing your integration.
Build Your First LangChain Application – Part 1: Introduction and Setup
Start your journey building LangChain applications with Node.js and Azure OpenAI in this comprehensive 8-part tutorial series.
