PyPI
pypi.org › project › langchain-community
langchain-community · PyPI
Download the file for your platform. If you're not sure which to choose, learn more about installing packages. langchain_community-0.4.1.tar.gz (33.2 MB view details)
» pip install langchain-community
Published Oct 27, 2025
Version 0.4.1
Langchain
reference.langchain.com › python › langchain-community
langchain_community | LangChain Reference
Reference documentation for the langchain-community package.
python - langchain : ModuleNotFoundError: No module named 'langchain_community' - Stack Overflow
Using the PyCharm 'Interpreter ... install langchain-community instead, did the trick! ... In my case, I resolved the issue by downgrading from Python 3.12 to 3.11 and then running the following command: ... Maybe you use Virtual enviroment. If you use this, see the install location. ... Find the answer to your question by asking. Ask question ... See similar questions with these tags. ... 788 pip install fails ... More on stackoverflow.com
To install langchain-community run `pip install -U langchain-community`. how to write this in requirements.txt file?
In streamlit cloud, while deploying my app, I’m getting below error: To install langchain-community run `pip install -U langchain-community`. I’m simply writing “langchain-community” in my requirements.txt, but what can I write instead so that I don’t get this warning?? Thanks in advance. More on discuss.streamlit.io
0
0
April 12, 2024Why separate langchain and langchain_core for python package
good question! as a bit of history, everything started out in langchain. however, as the package grew that started to become untenable. so we decided to split it up - you can read more about that here: https://blog.langchain.dev/the-new-langchain-architecture-langchain-core-v0-1-langchain-community-and-a-path-to-langchain-v0-1/ I won't repeat it all, but to directly answer your question: - We wanted to put all the core runtime logic + base interfaces in a lightweight core package for others to more easily use without pulling in all of langchain - We split out third party integrations in langchain-community - We kept langchain as the place for chains/retrievers/agents/etc where we implemented the logic, and they were more specific ways of doing retrieval/chaining/agents, as opposed to core logic Happy to answer specific questions as well! More on reddit.com
4
6
January 28, 2024I installed a python package (langchain) using "pip install", but it can't be imported - Stack Overflow
Stack Ads Connect your brand to ... communities. Releases Keep up-to-date on features we add to Stack Overflow and Stack Internal. ... Find centralized, trusted content and collaborate around the technologies you use most. Learn more about Collectives ... Bring the best of human thought and AI automation together at your work. Explore Stack Internal ... I installed it globally using pip install langchain but I can't ... More on stackoverflow.com
Videos
02:17
How to install langchain library in python on Windows 11 - YouTube
02:20
How to install and use langchain-community library in python on ...
02:02
LangChain 01: Pip Install LangChain | Python | LangChain - YouTube
02:03
How to install streamlit, langchain_core, langchain_community and ...
01:51
Fix ModuleNotFoundError: No module named 'langchain_community' ...
01:23
Install LangChain on Windows | LangChain | Python - YouTube
PingCAP
pingcap.com › home › articles › installing langchain made easy with pip
Installing LangChain Made Easy with pip
December 12, 2024 - pip install langchain-openai pip install langchain-community
Vstorm
vstorm.co › strona główna › glossary › pip install langchain community
What is Pip install LangChain community? | Vstorm Glossary
January 31, 2026 - Pip install LangChain community is the Python Package Index (PyPI) command that installs LangChain Community, the feature-rich distribution of the LangChain framework.
Libraries.io
libraries.io › pypi › langchain-community
langchain-community 0.4.1 on PyPI - Libraries.io - security & maintenance data for open source software
Repository PyPI Python · License · MIT · Install · pip install langchain-community==0.4.1 · This repository contains 1 package with community-maintained LangChain integrations: langchain-community · Note · Looking for the JS/TS version?
Langchain
docs.langchain.com › oss › python › langchain › install
Install LangChain - Docs by LangChain
These live in independent provider packages. ... # Installing the OpenAI integration pip install -U langchain-openai # Installing the Anthropic integration pip install -U langchain-anthropic
PyPI
pypi.org › project › langchain
langchain · PyPI
Provides-Extra: anthropic , aws , azure-ai , baseten , community , deepseek , fireworks , google-genai , google-vertexai , groq , huggingface , mistralai , ollama , openai , perplexity , together , xai ... Download the file for your platform. If you're not sure which to choose, learn more about installing packages. ... Filter files by name, interpreter, ABI, and platform. If you're not sure about the file name format, learn more about wheel file names. ... Details for the file langchain-1.2.15.tar.gz.
» pip install langchain
Top answer 1 of 4
69
pip install langchain-community langchain-core
This is required.
If still not working then:
pip install --upgrade langchain
Also, make sure that python_version=>3.8.1
2 of 4
2
Using pip install langchain-community or pip install --upgrade langchain did not work for me in spite of multiple tries.
Using the PyCharm 'Interpreter Settings' GUI to manually install langchain-community instead, did the trick!
Streamlit
discuss.streamlit.io › community cloud
To install langchain-community run `pip install -U langchain-community`. how to write this in requirements.txt file? - Community Cloud - Streamlit
April 12, 2024 - In streamlit cloud, while deploying my app, I’m getting below error: To install langchain-community run `pip install -U langchain-community`. I’m simply writing “langchain-community” in my requirements.txt, but what ca…
Latenode
latenode.com › home › blog › ai frameworks & technical infrastructure › langchain (setup, tools, agents, memory) › how to install langchain: complete python setup guide + troubleshooting 2025
How to Install LangChain: Complete Python Setup Guide + Troubleshooting 2025 - Latenode Blog
February 12, 2026 - This approach ensures you only include what you need. ... To save time, you can install multiple packages together. For example: pip install langchain langchain-openai langchain-chroma python-dotenv
Reddit
reddit.com › r/langchain › why separate langchain and langchain_core for python package
r/LangChain on Reddit: Why separate langchain and langchain_core for python package
January 28, 2024 -
Hey, I'm trying to familiarize myself with the internals of the langchain python package, I noticed that langchain and langchain_core are separated and in the internal code they have similar sub packages. my question is what is the need for this separation and what is the thought process behind what should be implemented in langchain vs langchain_core. Thanks
GitHub
github.com › langchain-ai › langchain › issues › 21905
DOC: `langchain-community` will be not installed with `pip install langchain` · Issue #21905 · langchain-ai/langchain
May 20, 2024 - The bug is not resolved by updating to the latest stable version of LangChain (or the specific integration package).
Published May 20, 2024
Author Ethan Yang(openvino-dev-samples)
PyPI
pypi.org › project › langchain-google-community
langchain-google-community · PyPI
Download the file for your platform. If you're not sure which to choose, learn more about installing packages. langchain_google_community-3.0.5.tar.gz (357.2 kB view details)
» pip install langchain-google-community
Published Jan 16, 2026
Version 3.0.5
Anaconda.org
anaconda.org › conda-forge › langchain-community
langchain-community - conda-forge | Anaconda.org
Install langchain-community with Anaconda.org. Community contributed LangChain integrations.
Milvus
milvus.io › ai-quick-reference › how-do-i-set-up-langchain-in-my-python-environment
How do I set up LangChain in my Python environment?
Install LangChain: Start by installing the LangChain library using pip, Python’s package manager.
Reddit
reddit.com › r/langchain › [rant] i simply cannot work with langchain without being stuck on dependency conflicts
r/LangChain on Reddit: [RANT] I simply cannot work with LangChain without being stuck on dependency conflicts
January 19, 2025 -
I don't know what am I doing wrong, I have more than 10 years of experience with app development, mostly webapps. I am fairly familiar with Python and started to get more interested in AI Agents. I have been digging around some courses and tutorials but every time I got some insane dependency conflict that I need waste so much time on them that I can't simply go ahead on the projects I wanted to do.
I come from the npm world where, if you do an npm install you have everything done for you. But with Python and specially LangChain I simply cannot make anything work. A practical example:
I was following a tutorial that asked me to install the library langchain. Fine pip install lanchain. After some time I was supposed to install langchain-openai. For my surprise when I did pip install langchain-openai I started to get problems with the langchain-core library. Again, had to manually unnistall and install a lot of compatible versions that I would have to dig to find until it was working. Further along on the tutoria l had to install langchain-community. Again, dependency hell, and only with LangChain libraries. I never had these problems with, for example, tavily libraries or regex, numpy, openai. It's always langchain.
I don't know what am I doing wrong but I simply cannot see a way that I can work with this if I need to install langchain libraries for pretty much any little small thing I had to do and those libraries pretty much don't seem to work with each other and cause conflicts that would take most of the time I can spend trying to learn this.
I would love to hear for more experienced people how they handle those problems or what I am doing wrong.
Thanks in advance.
Top answer 1 of 5
19
That's LangChain for ya, it's just bad. Read around on the subreddit and you'll find similar sentiment. I had a very similar journey, I am an experienced software engineer, and I tested out all the LLM frameworks and libraries, most of them, LangChain included, were written by people rather inexperienced in creating tools for other developers to use, but were rather datascientists themselves... Anyways, may I suggest you have a look at my framework, Atomic Agents: https://github.com/BrainBlend-AI/atomic-agents with now just over 2K stars, still relatively young but the feedback has been stellar and a lot of people are starting to prefer it over the others It aims to be: - Developer Centric - Lightweight - Everything is based around structured input&output - Everything is based on solid programming principles - Everything is hyper self-consistent (agents & tools are all just Input -> Processing -> Output, all structured) - It's not painful like the langchain ecosystem :') - It gives you 100% control over any agentic pipeline or multi-agent system, instead of relinquishing that control to the agents themselves like you would with CrewAI etc (which I found, most of my clients really need that control) Here are some articles, examples & tutorials (don't worry the medium URLs are not paywalled if you use these URLs) Intro: https://generativeai.pub/forget-langchain-crewai-and-autogen-try-this-framework-and-never-look-back-e34e0b6c8068?sk=0e77bf707397ceb535981caab732f885 Quickstart examples: https://github.com/BrainBlend-AI/atomic-agents/tree/main/atomic-examples/quickstart A deep research example: https://github.com/BrainBlend-AI/atomic-agents/tree/main/atomic-examples/deep-research An agent that can orchestrate tool & agent calls: https://github.com/BrainBlend-AI/atomic-agents/tree/main/atomic-examples/orchestration-agent A fun one, extracting a recipe from a Youtube video: https://github.com/BrainBlend-AI/atomic-agents/tree/main/atomic-examples/youtube-to-recipe How to build agents with longterm memory: https://generativeai.pub/build-smarter-ai-agents-with-long-term-persistent-memory-and-atomic-agents-415b1d2b23ff?sk=071d9e3b2f5a3e3adbf9fc4e8f4dbe27 I made it after taking a year off my usual consulting in order to really dive deep into building agentic AI solutions, as I wanted to shift my career 100% into that direction. I think delivering quality software is important, but also realized if I was going to try to get clients, I had to be able to deliver fast as well... So I looked at langchain, crewai, autogen, some low-code tools even, and as a developer with 15+ years experience I hated every single one of them - langchain/langgraph due to the fact it wasn't made by experienced developers and it really shows, plus they have 101 wrappers for things that don't need it and in fact, only hinder you (all it serves is as good PR to make VC happy and money for partnerships) CrewAI & Autogen couldn't give the control most CTOs are demanding, and most other frameworks were even worse.. So, I made Atomic Agents out of spite and necessity for my own work, and now I end up getting hired specifically to rewrite codebases from langchain/langgraph to Atomic Agents, do PoCs with Atomic Agents, ... which I lowkey did not expect it to become this popular and praised, but I guess the most popular things are those that solve problems, and that is what I set out to do for myself before opensourcing it Control & ownership are also important parts of the framework's philosophy. Also created a subreddit for it just recently, it's still suuuuper young so nothing there really yet r/AtomicAgents
2 of 5
12
Every. Single. Time. That I do a new venv. Every single time. The module names have changed, there are conflicting dependencies and even when I get it working I have to resolve a bunch of deprecation messages. Most of my run time errors come from using old module names even though they resolve they’re superseded. Put your errors in ChatGPT and it’ll help you. The docs won’t. If it makes you feel any better, LlamaIndex is worse. I think I had to install Python 3.7 to find common ground for all of the modules I needed.
MyScale
myscale.com › blog › effortless-langchain-install-guide-python-beginners
Effortless LangChain Install Guide for Python Beginners
Before proceeding with LangChain installation, make sure you have essential tools such as a code editor (e.g., Visual Studio Code, PyCharm (opens new window)), a package manager (e.g., pip) (opens new window), and a solid understanding of basic Python programming concepts.