{"repo":"FareedKhan-dev/contextual-engineering-guide","free":true,"listed":false,"github":"https://github.com/FareedKhan-dev/contextual-engineering-guide","clone":"git clone https://github.com/FareedKhan-dev/contextual-engineering-guide.git","description":"Implementation of contextual engineering pipeline with LangChain and LangGraph Agents","language":"Jupyter Notebook","stars":94,"topics":["ai","ai-agents","claude","context-engineering","langchain","langgraph","large-language-models","openai","prompt-engineering"],"license":null,"category":"ai-agents","readme_excerpt":"LangChain AI Agents Using Contextual Engineering Context engineering means creating the right setup for an AI before giving it a task. This setup includes: Instructions on how the AI should act, like being a helpful budget travel guide Access to useful info from databases, documents, or live sources. Remembering past conversations to avoid repeats or forgetting. Tools the AI can use, such as calculators or search features. Important details about you, like your preferences or location. Context Engineering (From LangChain and 12Factor) AI engineers are now shifting from prompt engineering to context engineering because… context engineering focuses on providing AI with the right background and tools, making its answers smarter and more useful. In this blog, we will explore how LangChain and LangGraph two powerful tools for building AI agents, RAG apps, and LLM apps can be used to implement contextual engineering effectively to improve our AI Agents. This guide is created on top of langgchain ai guide. --- Table of Contents - What is Context Engineering? - Scratchpad with LangGraph - Creating StateGraph - Memory Writing in LangGraph - Scratchpad Selection Approach - Memory Selection Ability - Advantage of LangGraph BigTool Calling - RAG with Contextual Engineering - Compression Strategy with knowledgeable Agents - Isolating Context using Sub-Agents Architecture - Isolation using Sandboxed Environments - State Isolation in LangGraph - Summarizing Everything What is Context Engine","default_branch":null,"files":null,"tree":[],"storefront":"/r/FareedKhan-dev","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/FareedKhan-dev/contextual-engineering-guide/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}