Langflow is a powerful tool for building and deploying AI-powered agents and workflows. http://www.langflow.org

Find a file

Robert Wilkins III 4aaa2c280d GPC Shell Script - Websocket Connection Failure #300		2023-05-14 22:08:13 +00:00
.devcontainer	docs: add readme guide	2023-04-28 18:56:16 +00:00
.github	fix(test.yml): correct typo in make command from 'test' to 'tests'	2023-05-07 20:15:29 +00:00
docker_example	fix: change default port	2023-03-17 16:47:27 -03:00
img	fix: removing unwanted image	2023-03-14 11:23:39 -03:00
scripts	GPC Shell Script - Websocket Connection Failure #300	2023-05-14 22:08:13 +00:00
src	fix: duplicated lodash	2023-05-13 21:10:56 +08:00
tests	refactor(run.py): remove unused process_graph function	2023-05-10 11:31:06 -03:00
.gitignore	feat: add document loaders	2023-04-13 11:52:42 -03:00
CODE_OF_CONDUCT.md	Create CODE_OF_CONDUCT.md	2023-03-07 17:18:11 -03:00
CONTRIBUTING.md	Update CONTRIBUTING.md	2023-04-08 09:27:28 -03:00
dev.Dockerfile	feat: add SQL agent	2023-04-13 22:33:46 -03:00
docker-compose.debug.yml	feat: added debug option in make dev	2023-04-04 19:19:41 -03:00
docker-compose.yml	revert local dev changes	2023-04-09 06:51:17 -03:00
Dockerfile	refac: langflow_backend -> langflow	2023-03-17 09:50:02 -03:00
GCP_DEPLOYMENT.md	fix GCP walkthrough location	2023-05-14 21:10:08 +00:00
LICENSE	docs: Add img, LICENSE	2023-02-23 20:29:53 -03:00
Makefile	feat(pyproject.toml): add wikipedia package to dependencies	2023-05-07 20:15:29 +00:00
package-lock.json	package-lock.json update	2023-04-25 16:36:11 -03:00
poetry.lock	feat(pyproject.toml): add gptcache dependency to the project.	2023-05-12 09:39:03 -03:00
pyproject.toml	feat(pyproject.toml): add gptcache dependency to the project.	2023-05-12 09:39:03 -03:00
README.md	fix GCP walkthrough location	2023-05-14 21:10:08 +00:00

README.md

⛓️ LangFlow

~ A User Interface For LangChain ~

GitHub Contributors GitHub Last Commit GitHub Issues GitHub Pull Requests Github License

LangFlow is a GUI for LangChain, designed with react-flow to provide an effortless way to experiment and prototype flows with drag-and-drop components and a chat box.

📦 Installation

Locally

You can install LangFlow from pip:

pip install langflow

Next, run:

python -m langflow

langflow

Deploy Langflow on Google Cloud Platform

Follow our step-by-step guide to deploy Langflow on Google Cloud Platform (GCP) using Google Cloud Shell. The guide is available in the Langflow in Google Cloud Platform document.

Alternatively, click the "Open in Cloud Shell" button below to launch Google Cloud Shell, clone the Langflow repository, and start an interactive tutorial that will guide you through the process of setting up the necessary resources and deploying Langflow on your GCP project.

Deploy Langflow on Google Cloud Platform

Follow our step-by-step guide to deploy Langflow on Google Cloud Platform (GCP) using Google Cloud Shell. The guide is available in the Langflow in Google Cloud Platform document.

🎨 Creating Flows

Creating flows with LangFlow is easy. Simply drag sidebar components onto the canvas and connect them together to create your pipeline. LangFlow provides a range of LangChain components to choose from, including LLMs, prompt serializers, agents, and chains.

Explore by editing prompt parameters, link chains and agents, track an agent's thought process, and export your flow.

Once you're done, you can export your flow as a JSON file to use with LangChain. To do so, click the "Export" button in the top right corner of the canvas, then in Python, you can load the flow with:

from langflow import load_flow_from_json

flow = load_flow_from_json("path/to/flow.json")
# Now you can use it like any chain
flow("Hey, have you heard of LangFlow?")

👋 Contributing

We welcome contributions from developers of all levels to our open-source project on GitHub. If you'd like to contribute, please check our contributing guidelines and help make LangFlow more accessible.

📄 License

LangFlow is released under the MIT License. See the LICENSE file for details.