langchain and LangChain-Tutorials

A comprehensive framework for building language model applications that serves as the foundational technology that the educational resource demonstrates through practical implementation examples.

langchain
98
Verified
LangChain-Tutorials
28
Experimental
Maintenance 25/25
Adoption 25/25
Maturity 25/25
Community 23/25
Maintenance 2/25
Adoption 7/25
Maturity 1/25
Community 18/25
Stars: 129,354
Forks: 21,296
Downloads: 225,878,213
Commits (30d): 228
Language: Python
License: MIT
Stars: 41
Forks: 16
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License:
No risk flags
No License Stale 6m No Package No Dependents

About langchain

langchain-ai/langchain

The agent engineering platform

Provides unified abstractions for LLM models, embeddings, vector stores, and retrieval tools across 100+ provider integrations, enabling seamless model swapping and real-time data augmentation. Built on a modular, component-based architecture that supports chains and orchestration patterns, with optional integration to LangGraph for complex agentic workflows and LangSmith for observability and evals.

About LangChain-Tutorials

TirendazAcademy/LangChain-Tutorials

Practical step-by-step LangChain guides

Covers hands-on implementations spanning retrieval-augmented generation (RAG), agentic workflows for data analysis, and multi-turn conversational systems with chat history management. Demonstrates integration patterns with external tools like Ollama, SQL databases, and pandas DataFrames through LangChain's agent and chain abstractions. Content includes both written tutorials and video walkthroughs focusing on complete application architectures rather than isolated API usage.

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