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GitHub
github.com › alphasecio › langchain-examples
GitHub - alphasecio/langchain-examples: A collection of apps powered by the LangChain LLM framework. · GitHub
A multi-page Streamlit application showcasing generative AI uses cases using LangChain, OpenAI, and others.
Starred by 546 users
Forked by 152 users
Languages   Python 67.7% | Jupyter Notebook 32.3%
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Langchain
docs.langchain.com › oss › python › langchain › quickstart
Quickstart - Docs by LangChain
In the following example you will build a research agent that can answer questions about text files.
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Google Cloud
cloud.google.com › use-cases › langchain
What Is LangChain? Examples and definition | Google Cloud
The flexibility and modularity of LangChain make it suitable for building a wide array of LLM-powered applications across various domains. Some common applications and examples include:
Published   August 29, 2023
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JetBrains
blog.jetbrains.com › pycharm › 2026 › 02 › langchain-tutorial-2026
LangChain Python Tutorial: A Complete Guide for 2026 | The PyCharm Blog
March 13, 2026 - Another real-world use case for LangChain is a document question answering system. For example, companies often have internal documents and manuals that are rather long and unwieldy.
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GitHub
github.com › langchain-samples
LangChain Samples · GitHub
3 days ago - LangChain Samples is a collection of code examples, cookbooks, reference implementations, and workshop materials created by customer facing teams at LangChain.
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GitHub
github.com › langchain-ai › langchain
GitHub - langchain-ai/langchain: The agent engineering platform. Available in TypeScript! · GitHub
2 weeks ago - Just getting started? Check out Deep Agents — a higher-level package built on LangChain for agents that have built-in capabilites for common usage patterns such as planning, subagents, file system usage, and more.
Starred by 136K users
Forked by 22.5K users
Languages   Python 99.3% | Makefile 0.5% | Shell 0.1% | XSLT 0.1% | HTML 0.0% | Dockerfile 0.0%
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LangChain
langchain.com
LangChain: Observe, Evaluate, and Deploy Reliable AI Agents
Join us May 13th & May 14th at Interrupt, the Agent Conference by LangChain
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GitHub
github.com › djsquircle › LangChain_Examples
GitHub - djsquircle/LangChain_Examples: A collection of LangChain examples in Python · GitHub
A collection of working code examples using LangChain for natural language processing tasks. This repository provides implementations of various tutorials found online.
Starred by 12 users
Forked by 6 users
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Langchain
reference.langchain.com › python › langchain
langchain | LangChain Reference
LangChain agents are built on top ... and more. (You do not need to know LangGraph for basic LangChain agent usage.) For full documentation, see the API reference. For conceptual guides, tutorials, and examples on using LangChain, see the LangChain Docs....
Find elsewhere
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Nanonets
nanonets.com › blog › langchain
LangChain: A Complete Guide & Tutorial
January 11, 2025 - Each loader caters to different requirements and uses different underlying libraries. Below are detailed examples for each loader. PyPDFLoader is used for basic PDF parsing. from langchain.document_loaders import PyPDFLoader loader = PyPDFLoader("example_data/layout-parser-paper.pdf") pages = loader.load_and_split()
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ProjectPro
projectpro.io › blog › 15 langchain projects to enhance your portfolio in 2025
15 Langchain Projects to Enhance Your Portfolio in 2025
January 2, 2025 - LangChain is primarily used for ... a LangChain application is a language model assisting in code review processes by analyzing code submissions, offering feedback, and suggesting improvements....
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Medium
medium.com › @dvasquez.422 › building-a-simple-ai-agent-1e2f2b369b25
Building a Simple AI Agent With Python and Langchain | by David Vasquez | Medium
August 7, 2025 - Now, this project will be built using Python. The way we will use this is by implementing Langchain for our AI Agent, then apply Langchain tools which our model will use to generate its response. You can use any model you like, for this example, I will be using Google’s Gemini 2.0 Flash.
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SitePoint
sitepoint.com › blog › python › a complete guide to langchain in python
A Complete Guide to LangChain in Python — SitePoint
November 7, 2024 - This code takes two variables into its prompt and formulates a creative answer (temperature=0.9). In this example, we’ve asked it to come up with a good title for a horror movie about math. The output after running this code was “The Calculating Curse”, but this doesn’t really show the full power of chains. ... from langchain.chat_models import ChatOpenAI from langchain.prompts import PromptTemplate from typing import Optional from langchain.chains.openai_functions import ( create_openai_fn_chain, create_structured_output_chain, ) import os os.environ["OPENAI_API_KEY"] = "YOUR_KEY" llm
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freeCodeCamp
freecodecamp.org › news › how-to-use-langchain-and-langgraph-a-beginners-guide-to-ai-workflows
How to Use LangChain and LangGraph: A Beginner’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....