LangChain Tool-Calling Agents: Separate Decisions from Execution
Design controllable agents with explicit tool schemas, decision loops, execution boundaries, and error recovery.
LangChain Prompt Chains: Treat Prompts as Maintainable Programs
Use templates, variable contracts, message roles, and composition to build versioned and evaluable prompt chains.
LangChain Memory: Designing Controlled Multi-Turn State
Design conversation history, summary memory, and long-term memory with clear state, capacity, and privacy boundaries.
LangChain Core Architecture: Runnables, Models, and Composable Chains
Understand how LangChain composes prompts, models, parsers, and Runnable stages into testable AI workflows.
Building AI Agents with LangChain: Tool Integration and Multi-Turn Conversations
Learn how to build intelligent AI agents using LangChain, including tool integration, memory management, and multi-turn conversation support
Building a RAG Pipeline with LangChain: From Document Processing to Vector Search
A comprehensive guide to building a production-ready RAG (Retrieval-Augmented Generation) pipeline using LangChain, covering document preprocessing, vector storage, and retrieval …