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Langchain Python Tutorial
Rag and Python
Application
Basic Rag
and Python Application
Python
Ai Agent Tutorial
Build Ai Python
App with Rag
Llamafiles for PDF Chat
Ai Agent
Tutorial Langchain
Best Llamafiles for PDF Chat
Code a Agent Ai
Rag
and Python
Make Your Ai in 15 Minutes with
Python
Raga Bot PyCon
AI Chat Bot with
Langchain
Langchain Rag
Build an Ai Agent From Scratch in
Python
Build Ai Agent Using
Langchain
Chroma DB
Python
Ai Pyhton Programming
Ai Agent
Langchain
Creating Python
Ai
Python
Ai Agent
Do Chatbots Use
Langchain
How to Create Ai Agents in
Python
Ragai
How to Build Coding Agent
How to Code Ai in
Python
Rag
Langch
Rag
Model
0:41
YouTube
techtalkswithravi
What is LangChain
**What is LangChain? 🤔** An LLM by itself can generate responses. But real enterprise AI applications need to interact with: → APIs → Databases → Documents → External tools → Other systems **LangChain provides building blocks to connect these capabilities with LLM-powered applications and agents.** Think of the architecture as ...
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A chain goes forward. A graph can go back. That's the whole difference. ⚡ Most people can't explain LangChain vs LangGraph vs LangSmith because they're described as three parts of one thing. They're not. They're three different kinds of thing. 🟢 LANGCHAIN — the framework Models, tools, retrievers, parsers. High-level abstractions for the common patterns. Reach for it to ship fast. The catch: a chain is a DAG. It only goes one direction. 🔵 LANGGRAPH — the runtime State, edges, loops, pauses. Du
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