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Langchain
docs.langchain.com โ€บ oss โ€บ python โ€บ langchain โ€บ quickstart
Quickstart - Docs by LangChain
Install LangChain Skills to improve your agentโ€™s performance on LangChain ecosystem tasks. ... Get an API key from any supported model provider (for example, Google Gemini or OpenAI).
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Reddit
reddit.com โ€บ r/langchain โ€บ a free goldmine of ai agent examples, templates, and advanced workflows
r/LangChain on Reddit: A free goldmine of AI agent examples, templates, and advanced workflows
August 14, 2025 -

Iโ€™ve put together a collection of 35+ AI agent projects from simple starter templates to complex, production-ready agentic workflows, all in one open-source repo.

It has everything from quick prototypes to multi-agent research crews, RAG-powered assistants, and MCP-integrated agents. In less than 2 months, itโ€™s already crossed 2,000+ GitHub stars, which tells me devs are looking for practical, plug-and-play examples.

Here's the Repo: https://github.com/Arindam200/awesome-ai-apps

Youโ€™ll find side-by-side implementations across multiple frameworks so you can compare approaches:

  • LangChain + LangGraph

  • LlamaIndex

  • Agno

  • CrewAI

  • Google ADK

  • OpenAI Agents SDK

  • AWS Strands Agent

  • Pydantic AI

The repo has a mix of:

  • Starter agents (quick examples you can build on)

  • Simple agents (finance tracker, HITL workflows, newsletter generator)

  • MCP agents (GitHub analyzer, doc QnA, Couchbase ReAct)

  • RAG apps (resume optimizer, PDF chatbot, OCR doc/image processor)

  • Advanced agents (multi-stage research, AI trend mining, LinkedIn job finder)

Iโ€™ll be adding more examples regularly.

If youโ€™ve been wanting to try out different agent frameworks side-by-side or just need a working example to kickstart your own, you might find something useful here.

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freeCodeCamp
freecodecamp.org โ€บ news โ€บ how-to-use-langchain-and-langgraph-a-beginners-guide-to-ai-workflows
How to Use LangChain and LangGraph: A Beginnerโ€™s Guide to AI Workflows
November 5, 2025 - It provides a structure for connecting ... logic, you use components like chains, tools, and agents. A simple example is chaining prompts together....
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GitHub
github.com โ€บ alphasecio โ€บ langchain-examples
GitHub - alphasecio/langchain-examples: A collection of apps powered by the LangChain LLM framework. ยท GitHub
This repository contains a collection of apps powered by LangChain.
Starred by 544 users
Forked by 152 users
Languages ย  Python 67.7% | Jupyter Notebook 32.3%
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DataCamp
datacamp.com โ€บ tutorial โ€บ building-langchain-agents-to-automate-tasks-in-python
Building LangChain Agents to Automate Tasks in Python | DataCamp
August 28, 2024 - For example, if a user asks, โ€œWhat should I wear for my bike ride today?โ€ the agent might check the weather API, analyze suitable biking routes through Strava, recommend appropriate clothing, considering the user's past preferences, and generate a personalized response.
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Medium
medium.com โ€บ @ebruboyaci โ€บ use-cases-with-langchain-e0fd5b0587f1
Use cases with Langchain. Why LangChain? | by Ebru Boyacฤฑ โœจ | Medium
July 28, 2023 - Some examples of chatbot implementations include ChatBase (Affiliate link), NexusGPT, and ChatPDF. These tools enable real-time interactions with users and provide a user-friendly interface for asking questions in natural language.
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Bright Inventions
brightinventions.pl โ€บ blog โ€บ introducing-langchain-agents-tutorial-with-example
Introducing LangChain Agents: 2024 Tutorial with Example | Bright Inventions
January 11, 2024 - There are different examples: - CSV agent toolkit to operate on `CSV` files (read, write), - Github agent toolkit that has implemented different operations on Github, e.g. creating new issues, creating new pull requests, and so on.
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Medium
medium.com โ€บ data-science-in-your-pocket โ€บ langchain-tutorials-for-newbies-945319df04e2
Langchain tutorials for newbies. Langchain use cases with demo explained | by Mehul Gupta | Data Science in Your Pocket | Medium
February 1, 2024 - This problem can be solved using ... by Langchain. Fact-Checker: This chain checks input facts and explores whether it is true or false ยท Rewriting: This chain rewrites a whole paragraph if it is factually incorrect ยท LLMs know to perform better when given some examples about the ...
Find elsewhere
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Real Python
realpython.com โ€บ learning-paths โ€บ llm-application-development-python
LLM Application Development With Python (Learning Path) โ€“ Real Python
Large language models (LLMs) have taken the world by storm, demonstrating unprecedented capabilities in natural language tasks. In this step-by-step tutorial, you'll leverage LLMs to build your own retrieval-augmented generation (RAG) chatbot using synthetic data with LangChain and Neo4j.
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YouTube
youtube.com โ€บ @LangChain
LangChain - YouTube
Learn more about how to build agents with LangChain products.
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CopilotKit
copilotkit.ai
CopilotKit | Bring Users and AI Agents together inside real apps
The Enterprise-Ready Frontend Stack for Agents. CopilotKit lets you integrate LLMs or agents with real-time context, UI control, and full flexibility.
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Towards AI
pub.towardsai.net โ€บ langchain-just-released-deep-agents-and-it-changes-how-you-build-ai-systems-cc2371b04714
LangChain Just Released Deep Agents โ€” And It Changes How You Build AI Systems | by Darshandagaa | Apr, 2026 | Towards AI
1 month ago - For complex, long-running, multi-step tasks with large context requirements, that's where deepagents earns its abstraction cost. Hereโ€™s a practical example โ€” a research agent that can search the web and produce a structured report:
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Anth
anth.us โ€บ blog โ€บ langchain-by-example
LangChain by Example | Anthus
August 24, 2024 - Using LangChain output parsers to extract structured data from datasets. In this example: Quickly searching a large database of raw recipe text, looking for something we can make with the one avocado that we have.
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LlamaIndex
llamaindex.ai
LlamaIndex | AI Agents for Document OCR + Workflows
LlamaParse is the world's best agentic OCR for processing complex documents with messy tables, charts, images, and more with human-level accuracy.
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Latenode
latenode.com โ€บ home โ€บ blog โ€บ ai frameworks & technical infrastructure โ€บ langchain (setup, tools, agents, memory) โ€บ langchain python tutorial: complete beginner's guide to getting started
LangChain Python Tutorial: Complete Beginner's Guide to Getting Started - Latenode Blog
February 12, 2026 - Here's an example of a blog post generator that outlines topics, writes an introduction, and adds a call-to-action: from langchain.chains import SimpleSequentialChain from langchain.prompts import PromptTemplate from langchain_openai import ...
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LangChain
langchain.com โ€บ blog
LangChain Blog
3 days ago - Explore tutorials, case studies, and technical insights on building AI agents with LangSmith, Deep Agents, LangGraph, and LangChain. Learn from experts.
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Udemy
udemy.com โ€บ development
LangChain- Agentic AI Engineering with LangChain & LangGraph
4 weeks ago - This video provides an overview of setting up an AI agent using LangChain, focusing on the fundamental components: tools and a large language model (LLM). ... LLM (Large Language Model): The reasoning engine or the "brain" of the agent. In this example, ChatOpenAI is used.
Rating: 4.6 โ€‹ - โ€‹ 49.6K votes